Upload folder using huggingface_hub

README.md

@@ -0,0 +1,96 @@
+---
+datasets:
+- argilla/ultrafeedback-binarized-preferences-cleaned
+language:
+- en
+- de
+- es
+- fr
+- it
+base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- dpo
+- rlaif
+- preference
+- ultrafeedback
+license: apache-2.0
+model-index:
+- name: notux-8x7b-v1
+  results: []
+---
+
+<div align="center">
+  <img src="https://cdn-uploads.huggingface.co/production/uploads/60f0608166e5701b80ed3f02/dj-spsk9eXMMXVGxK6jRz.png" alt="A banner representing Notus, the wind god of the south, in a mythical and artistic style. The banner features a strong, swirling breeze, embodying the warm, wet character of the southern wind. Gracefully flowing across the scene are several paper planes, caught in the gentle yet powerful gusts of Notus. The background is a blend of warm colors, symbolizing the heat of the south, with hints of blue and green to represent the moisture carried by this wind. The overall atmosphere is one of dynamic movement and warmth."/>
+</div>
+
+
+# Model Card for Notux 8x7B-v1
+
+This model is a preference-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the [argilla/ultrafeedback-binarized-preferences-cleaned](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned) dataset using DPO (Direct Preference Optimization).
+
+As of Dec 26th 2023, it outperforms `Mixtral-8x7B-Instruct-v0.1` and is the top ranked MoE (Mixture of Experts) model on the [Hugging Face Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
+
+This is part of the Notus family of models and experiments, where the Argilla team investigates data-first and preference tuning methods like dDPO (distilled DPO). This model is the result of our first experiment at tuning a MoE model that has already been fine-tuned with DPO (i.e., Mixtral-8x7B-Instruct-v0.1). 
+
+## Model Details
+
+### Model Description
+
+- **Developed by:** Argilla (based on MistralAI previous efforts)
+- **Shared by:** Argilla
+- **Model type:** Pretrained generative Sparse Mixture of Experts
+- **Language(s) (NLP):** English, Spanish, Italian, German, and French
+- **License:** MIT
+- **Finetuned from model:** [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
+
+### Model Sources
+
+- **Repository:** https://github.com/argilla-io/notus
+- **Paper:** N/A
+
+## Training Details
+
+### Training Hardware
+
+We used a VM with 8 x H100 80GB hosted in runpod.io for 1 epoch (~10hr).
+
+### Training Data
+
+We used a new iteration of the Argilla UltraFeedback preferences dataset named [argilla/ultrafeedback-binarized-preferences-cleaned](https://huggingface.co/datasets/argilla/ultrafeedback-binarized-preferences-cleaned).
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4384        | 0.22  | 200  | 0.4556          | -0.3275        | -1.9448          | 0.7937             | 1.6174          | -405.7994      | -397.8617    | -1.3157         | -1.4511       |
+| 0.4064        | 0.43  | 400  | 0.4286          | -0.2163        | -2.2090          | 0.8254             | 1.9927          | -408.4409      | -396.7496    | -0.7660         | -0.6539       |
+| 0.3952        | 0.65  | 600  | 0.4275          | -0.1311        | -2.1603          | 0.8016             | 2.0291          | -407.9537      | -395.8982    | -0.6783         | -0.7206       |
+| 0.3909        | 0.87  | 800  | 0.4167          | -0.2273        | -2.3146          | 0.8135             | 2.0872          | -409.4968      | -396.8602    | -0.8458         | -0.7738       |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.15.0

all_results.json

@@ -0,0 +1,21 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -1.2132024765014648,
+    "eval_logits/rejected": -1.2924575805664062,
+    "eval_logps/chosen": -396.52020263671875,
+    "eval_logps/rejected": -409.31964111328125,
+    "eval_loss": 0.4216844439506531,
+    "eval_rewards/accuracies": 0.8134920597076416,
+    "eval_rewards/chosen": -0.1933162659406662,
+    "eval_rewards/margins": 2.1035311222076416,
+    "eval_rewards/rejected": -2.296847343444824,
+    "eval_runtime": 398.9749,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 5.013,
+    "eval_steps_per_second": 0.158,
+    "train_loss": 0.4461688995361328,
+    "train_runtime": 44067.2139,
+    "train_samples": 58917,
+    "train_samples_per_second": 1.337,
+    "train_steps_per_second": 0.021
+}

config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 8,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "router_aux_loss_coef": 0.02,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -1.2132024765014648,
+    "eval_logits/rejected": -1.2924575805664062,
+    "eval_logps/chosen": -396.52020263671875,
+    "eval_logps/rejected": -409.31964111328125,
+    "eval_loss": 0.4216844439506531,
+    "eval_rewards/accuracies": 0.8134920597076416,
+    "eval_rewards/chosen": -0.1933162659406662,
+    "eval_rewards/margins": 2.1035311222076416,
+    "eval_rewards/rejected": -2.296847343444824,
+    "eval_runtime": 398.9749,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 5.013,
+    "eval_steps_per_second": 0.158
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.36.0"
+}

huggingface-metadata.txt

@@ -0,0 +1,23 @@
+url: https://huggingface.co/argilla/notux-8x7b-v1
+branch: main
+download date: 2023-12-28 09:14:34
+sha256sum:
+    11f2ec2e11347fa0c374b236801fe3d432e30c900905c61483ae9f189dd5808d model-00001-of-00019.safetensors
+    49ea4c94bf1abd460b2c09392b946e58e129e1e3a53ed702ce06d13b764bac39 model-00002-of-00019.safetensors
+    5ada743d60cf3c5df04a9dace1bb9fb5fd16c1352dddcfa5e1e8a22b2e8a585f model-00003-of-00019.safetensors
+    d7496f8eefdda8a98946e32c07b16650ea23186363ccfa6afced76e6c1e15ae5 model-00004-of-00019.safetensors
+    648bdaa1a215f57aea8cc29e66dc22b9a3d23ddab6ea86bba491622c7bfa9425 model-00005-of-00019.safetensors
+    d9668bb97c9c15c8496bc738549d2ff65c9f408869f8b673a8dc44f7ccf07be0 model-00006-of-00019.safetensors
+    289504c1cd644785db1253537488ce04828517a4b3fa1dd9c3f3696ac5489d74 model-00007-of-00019.safetensors
+    723a2545cb4f3b03d282ac0a914b4463f861c2f3a899c3e590227e185a866876 model-00008-of-00019.safetensors
+    bd4b0f8cb00843bae0d0c9c4135039abcdf82d6ce5dc5962176b0fa5e1a2a1b0 model-00009-of-00019.safetensors
+    9ecfb4d51efb4e545d8c5f941e1cff6ddedcc21753a4616012f04e887ff4a97a model-00010-of-00019.safetensors
+    f2d22020018d58f1daee771c300911bd7d39ab7a1e8341f3386f4dc28b0191d3 model-00011-of-00019.safetensors
+    8a24f06bdb175d79e93e29040b37da98e786c7195675bd2f5da28e07484bdb6a model-00012-of-00019.safetensors
+    9da22cbd79d759e7d5c0bd61faca98443e18ad77154c777901d1b0ebc68503ae model-00013-of-00019.safetensors
+    dfdfac6da5c5f503367f73cc6aed1b86e0968ae0e5cad46cdee1a79bb1c4481e model-00014-of-00019.safetensors
+    5f583fc17b1c5230b0cfbf5571aa275d044828aa641cbbaf3b3eec800975e8c4 model-00015-of-00019.safetensors
+    3da333874351b8edd12e6a42cdf616c3cae0841ec86f12fa29f5e6c70d1b39b0 model-00016-of-00019.safetensors
+    aba2d6a68b8ff90041579d8ce6713e7487c9f4c31f4e181fb08b35299de7b45b model-00017-of-00019.safetensors
+    37f26b990e1ee7a3db9a41c78de21e9edb1e1ee7d46f853d6a1931460d72a38d model-00018-of-00019.safetensors
+    cd4c7992df71e2366b507506231eaa6469fed4517fb912bd846f5b0c9f678195 model-00019-of-00019.safetensors

model.safetensors.index.json

@@ -0,0 +1,1002 @@
+{
+  "metadata": {
+    "total_size": 93405585408
+  },
+  "weight_map": {
+    "lm_head.weight": "model-00019-of-00019.safetensors",
+    "model.embed_tokens.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.4.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.5.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.5.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.5.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.6.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.6.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.6.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.7.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.7.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.experts.7.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.block_sparse_moe.gate.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.2.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.2.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.2.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.3.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.3.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.3.w3.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.4.w1.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.4.w2.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.4.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.5.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.5.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.5.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.6.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.6.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.6.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.7.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.7.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.experts.7.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00002-of-00019.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.0.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.0.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.1.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.1.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.2.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.2.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.3.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.3.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.4.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.4.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.4.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.5.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.5.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.5.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.6.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.6.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.6.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.7.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.7.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.experts.7.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.block_sparse_moe.gate.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00007-of-00019.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.0.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.0.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.0.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.1.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.1.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.1.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.2.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.2.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.2.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.3.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.3.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.3.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.4.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.4.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.4.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.5.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.5.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.5.w3.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.6.w1.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.6.w2.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.6.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.7.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.7.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.experts.7.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.block_sparse_moe.gate.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00008-of-00019.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00007-of-00019.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00007-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.0.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.0.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.0.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.1.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.1.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.1.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.2.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.2.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.2.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.3.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.3.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.3.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.4.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.4.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.4.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.5.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.5.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.5.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.6.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.6.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.6.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.7.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.7.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.experts.7.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.block_sparse_moe.gate.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.0.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.0.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.0.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.1.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.1.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.1.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.2.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.2.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.2.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.3.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.3.w2.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.3.w3.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.4.w1.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.4.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.4.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.5.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.5.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.5.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.6.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.6.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.6.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.7.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.7.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.experts.7.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.block_sparse_moe.gate.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00009-of-00019.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00008-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.0.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.0.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.0.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.1.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.1.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.1.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.2.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.2.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.2.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.3.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.3.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.3.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.4.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.4.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.4.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.5.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.5.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.5.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.6.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.6.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.6.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.7.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.7.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.experts.7.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.block_sparse_moe.gate.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.0.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.0.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.0.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.1.w1.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.1.w2.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.1.w3.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.2.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.2.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.2.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.3.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.3.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.3.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.4.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.4.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.4.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.5.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.5.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.5.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.6.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.6.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.6.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.7.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.7.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.experts.7.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.block_sparse_moe.gate.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00010-of-00019.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00009-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.0.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.0.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.0.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.1.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.1.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.1.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.2.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.2.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.2.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.3.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.3.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.3.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.4.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.4.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.4.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.5.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.5.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.5.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.6.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.6.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.6.w3.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.7.w1.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.7.w2.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.experts.7.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.16.block_sparse_moe.gate.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00011-of-00019.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00011-of-00019.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00010-of-00019.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00010-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.0.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.0.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.0.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.1.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.1.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.1.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.2.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.2.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.2.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.3.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.3.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.3.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.4.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.4.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.4.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.5.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.5.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.5.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.6.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.6.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.6.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.7.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.7.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.experts.7.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.block_sparse_moe.gate.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.0.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.0.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.0.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.1.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.1.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.1.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.2.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.2.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.2.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.3.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.3.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.3.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.4.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.4.w2.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.4.w3.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.5.w1.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.5.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.5.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.6.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.6.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.6.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.7.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.7.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.experts.7.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.block_sparse_moe.gate.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00012-of-00019.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00011-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.0.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.0.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.0.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.1.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.1.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.1.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.2.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.2.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.2.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.3.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.3.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.3.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.4.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.4.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.4.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.5.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.5.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.5.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.6.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.6.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.6.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.7.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.7.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.experts.7.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.block_sparse_moe.gate.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.2.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.2.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.2.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.3.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.3.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.3.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.4.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.4.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.4.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.5.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.5.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.5.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.6.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.6.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.6.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.7.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.7.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.experts.7.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.block_sparse_moe.gate.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.0.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.0.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.0.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.1.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.1.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.1.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.2.w1.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.2.w2.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.2.w3.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.3.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.3.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.3.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.4.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.4.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.4.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.5.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.5.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.5.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.6.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.6.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.6.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.7.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.7.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.experts.7.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.block_sparse_moe.gate.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00013-of-00019.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00012-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.0.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.0.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.0.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.1.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.1.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.1.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.2.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.2.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.2.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.3.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.3.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.3.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.4.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.4.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.4.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.5.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.5.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.5.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.6.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.6.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.6.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.7.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.7.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.experts.7.w3.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.block_sparse_moe.gate.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.0.w1.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.0.w2.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.0.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.1.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.1.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.1.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.2.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.2.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.2.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.3.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.3.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.3.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.4.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.4.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.4.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.5.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.5.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.5.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.6.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.6.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.6.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.7.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.7.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.experts.7.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.block_sparse_moe.gate.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00014-of-00019.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00013-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.0.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.0.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.0.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.1.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.1.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.1.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.2.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.2.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.2.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.3.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.3.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.3.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.4.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.4.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.4.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.5.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.5.w2.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.5.w3.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.6.w1.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.6.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.6.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.7.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.7.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.experts.7.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.block_sparse_moe.gate.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00015-of-00019.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00014-of-00019.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00014-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.0.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.0.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.0.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.1.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.1.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.1.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.2.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.2.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.2.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.3.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.3.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.3.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.4.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.4.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.4.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.5.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.5.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.5.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.6.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.6.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.6.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.7.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.7.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.experts.7.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.block_sparse_moe.gate.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.0.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.0.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.0.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.1.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.1.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.1.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.2.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.2.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.2.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.3.w1.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.3.w2.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.3.w3.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.4.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.4.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.4.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.5.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.5.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.5.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.6.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.6.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.6.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.7.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.7.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.experts.7.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.block_sparse_moe.gate.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00016-of-00019.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00015-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.0.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.0.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.0.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.1.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.1.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.1.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.2.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.2.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.2.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.3.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.3.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.3.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.4.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.4.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.4.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.5.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.5.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.5.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.6.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.6.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.6.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.7.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.7.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.experts.7.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.block_sparse_moe.gate.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.0.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.0.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.0.w3.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.1.w1.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.1.w2.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.1.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.2.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.2.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.2.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.3.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.3.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.3.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.4.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.4.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.4.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.5.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.5.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.5.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.6.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.6.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.6.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.7.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.7.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.experts.7.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.block_sparse_moe.gate.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00017-of-00019.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00016-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.0.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.0.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.0.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.1.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.1.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.1.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.2.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.2.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.2.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.3.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.3.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.3.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.4.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.4.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.4.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.5.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.5.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.5.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.6.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.6.w2.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.6.w3.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.7.w1.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.7.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.experts.7.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.28.block_sparse_moe.gate.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00018-of-00019.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00018-of-00019.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00017-of-00019.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00017-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.0.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.0.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.0.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.1.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.1.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.1.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.2.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.2.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.2.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.3.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.3.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.3.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.4.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.4.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.4.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.5.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.5.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.5.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.6.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.6.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.6.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.7.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.7.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.experts.7.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.block_sparse_moe.gate.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.0.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.0.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.0.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.1.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.1.w2.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.1.w3.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.2.w1.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.3.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.4.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.4.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.4.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.5.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.5.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.5.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.6.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.6.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.6.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.7.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.7.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.experts.7.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.block_sparse_moe.gate.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00003-of-00019.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00002-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.0.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.0.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.0.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.1.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.1.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.1.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.2.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.2.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.2.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.3.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.3.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.3.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.4.w1.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.4.w2.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.4.w3.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.5.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.5.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.5.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.6.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.6.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.6.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.7.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.7.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.experts.7.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.block_sparse_moe.gate.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00019-of-00019.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00018-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.0.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.0.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.0.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.1.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.1.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.1.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.2.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.2.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.2.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.3.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.3.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.3.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.4.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.4.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.4.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.5.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.5.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.5.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.6.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.6.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.6.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.7.w1.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.7.w2.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.experts.7.w3.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.block_sparse_moe.gate.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00019-of-00019.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00019-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.0.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.0.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.0.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.1.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.1.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.1.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.2.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.2.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.2.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.3.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.3.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.3.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.4.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.4.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.4.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.5.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.5.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.5.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.6.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.6.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.6.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.7.w1.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.7.w2.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.experts.7.w3.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.block_sparse_moe.gate.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.0.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.1.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.2.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.3.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.4.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.4.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.4.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.5.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.5.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.5.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.6.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.6.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.6.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.7.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.7.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.experts.7.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.block_sparse_moe.gate.weight": "model-00003-of-00019.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00004-of-00019.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00003-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.0.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.0.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.0.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.1.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.1.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.1.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.2.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.2.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.2.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.3.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.3.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.3.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.4.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.4.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.4.w3.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.5.w1.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.5.w2.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.5.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.6.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.6.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.6.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.7.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.7.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.experts.7.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.block_sparse_moe.gate.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00005-of-00019.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00004-of-00019.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00004-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.0.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.1.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.2.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.3.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.3.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.4.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.4.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.4.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.5.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.5.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.5.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.6.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.6.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.6.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.7.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.7.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.experts.7.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.block_sparse_moe.gate.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.0.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.0.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.0.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.1.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.1.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.1.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.2.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.2.w2.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.2.w3.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.3.w1.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.3.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.3.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.4.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.4.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.4.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.5.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.5.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.5.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.6.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.6.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.6.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.7.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.7.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.experts.7.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.block_sparse_moe.gate.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00006-of-00019.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00005-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.0.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.0.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.0.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.1.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.1.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.1.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.2.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.2.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.2.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.3.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.3.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.3.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.4.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.4.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.4.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.5.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.5.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.5.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.6.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.6.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.6.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.7.w1.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.7.w2.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.experts.7.w3.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.block_sparse_moe.gate.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00006-of-00019.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00006-of-00019.safetensors",
+    "model.norm.weight": "model-00019-of-00019.safetensors"
+  }
+}

output-00001-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e697e321b49bbeaf6258196a58f8d1a13e164e4cd52c7d32142c8ae0d20496d8
+size 8589578752

output-00002-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b48b0533dadff98f42d204b472d4817d448ec10cd792dfc4ab4b3ab2e4a5c5e
+size 8573918584

output-00003-of-00003.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:42eb7537a3e3a31c796d7ec07b16a446e955792a93f45d414ac2038ba8e26c02
+size 4998059384

special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,43 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "train_loss": 0.4461688995361328,
+    "train_runtime": 44067.2139,
+    "train_samples": 58917,
+    "train_samples_per_second": 1.337,
+    "train_steps_per_second": 0.021
+}

trainer_state.json

@@ -0,0 +1,1396 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 200,
+  "global_step": 921,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0,
+      "learning_rate": 5.3763440860215056e-09,
+      "logits/chosen": -1.3876744508743286,
+      "logits/rejected": -1.355853796005249,
+      "logps/chosen": -672.8331298828125,
+      "logps/rejected": -549.942138671875,
+      "loss": 0.6931,
+      "rewards/accuracies": 0.0,
+      "rewards/chosen": 0.0,
+      "rewards/margins": 0.0,
+      "rewards/rejected": 0.0,
+      "step": 1
+    },
+    {
+      "epoch": 0.01,
+      "learning_rate": 5.3763440860215054e-08,
+      "logits/chosen": -1.1944549083709717,
+      "logits/rejected": -1.1097763776779175,
+      "logps/chosen": -368.380859375,
+      "logps/rejected": -353.98101806640625,
+      "loss": 0.709,
+      "rewards/accuracies": 0.4305555522441864,
+      "rewards/chosen": 0.015228834003210068,
+      "rewards/margins": 0.0040851375088095665,
+      "rewards/rejected": 0.011143695563077927,
+      "step": 10
+    },
+    {
+      "epoch": 0.02,
+      "learning_rate": 1.0752688172043011e-07,
+      "logits/chosen": -1.4370033740997314,
+      "logits/rejected": -1.4178457260131836,
+      "logps/chosen": -391.20050048828125,
+      "logps/rejected": -409.3836364746094,
+      "loss": 0.7198,
+      "rewards/accuracies": 0.512499988079071,
+      "rewards/chosen": -0.015771254897117615,
+      "rewards/margins": 0.035423360764980316,
+      "rewards/rejected": -0.05119461938738823,
+      "step": 20
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 1.6129032258064515e-07,
+      "logits/chosen": -1.416802167892456,
+      "logits/rejected": -1.4156275987625122,
+      "logps/chosen": -411.7056579589844,
+      "logps/rejected": -425.6934509277344,
+      "loss": 0.6959,
+      "rewards/accuracies": 0.5625,
+      "rewards/chosen": -0.15962687134742737,
+      "rewards/margins": 0.045185185968875885,
+      "rewards/rejected": -0.20481204986572266,
+      "step": 30
+    },
+    {
+      "epoch": 0.04,
+      "learning_rate": 2.1505376344086022e-07,
+      "logits/chosen": -1.2398654222488403,
+      "logits/rejected": -1.2564724683761597,
+      "logps/chosen": -385.45782470703125,
+      "logps/rejected": -452.55535888671875,
+      "loss": 0.6365,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -0.3178340792655945,
+      "rewards/margins": 0.27168726921081543,
+      "rewards/rejected": -0.5895214080810547,
+      "step": 40
+    },
+    {
+      "epoch": 0.05,
+      "learning_rate": 2.6881720430107523e-07,
+      "logits/chosen": -1.2720705270767212,
+      "logits/rejected": -0.9971787333488464,
+      "logps/chosen": -339.6200866699219,
+      "logps/rejected": -361.6040954589844,
+      "loss": 0.5605,
+      "rewards/accuracies": 0.6625000238418579,
+      "rewards/chosen": -0.790237307548523,
+      "rewards/margins": 0.61395663022995,
+      "rewards/rejected": -1.4041939973831177,
+      "step": 50
+    },
+    {
+      "epoch": 0.07,
+      "learning_rate": 3.225806451612903e-07,
+      "logits/chosen": -1.350678563117981,
+      "logits/rejected": -1.3656706809997559,
+      "logps/chosen": -417.0431213378906,
+      "logps/rejected": -416.76165771484375,
+      "loss": 0.5485,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -1.473722219467163,
+      "rewards/margins": 1.0274063348770142,
+      "rewards/rejected": -2.5011284351348877,
+      "step": 60
+    },
+    {
+      "epoch": 0.08,
+      "learning_rate": 3.7634408602150537e-07,
+      "logits/chosen": -1.2629830837249756,
+      "logits/rejected": -1.415208339691162,
+      "logps/chosen": -377.01275634765625,
+      "logps/rejected": -445.7503967285156,
+      "loss": 0.5203,
+      "rewards/accuracies": 0.675000011920929,
+      "rewards/chosen": -1.3981420993804932,
+      "rewards/margins": 0.6980546116828918,
+      "rewards/rejected": -2.0961966514587402,
+      "step": 70
+    },
+    {
+      "epoch": 0.09,
+      "learning_rate": 4.3010752688172043e-07,
+      "logits/chosen": -1.3798706531524658,
+      "logits/rejected": -1.3563942909240723,
+      "logps/chosen": -411.2007751464844,
+      "logps/rejected": -434.94476318359375,
+      "loss": 0.5067,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.8918856382369995,
+      "rewards/margins": 1.0622823238372803,
+      "rewards/rejected": -1.9541680812835693,
+      "step": 80
+    },
+    {
+      "epoch": 0.1,
+      "learning_rate": 4.838709677419355e-07,
+      "logits/chosen": -1.6255207061767578,
+      "logits/rejected": -1.610365629196167,
+      "logps/chosen": -355.00128173828125,
+      "logps/rejected": -383.69866943359375,
+      "loss": 0.511,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.8219491839408875,
+      "rewards/margins": 0.6381314992904663,
+      "rewards/rejected": -1.460080623626709,
+      "step": 90
+    },
+    {
+      "epoch": 0.11,
+      "learning_rate": 4.957729468599034e-07,
+      "logits/chosen": -1.3692975044250488,
+      "logits/rejected": -1.3177874088287354,
+      "logps/chosen": -378.91265869140625,
+      "logps/rejected": -361.2559509277344,
+      "loss": 0.4586,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.2890338897705078,
+      "rewards/margins": 1.1477439403533936,
+      "rewards/rejected": -1.4367780685424805,
+      "step": 100
+    },
+    {
+      "epoch": 0.12,
+      "learning_rate": 4.897342995169082e-07,
+      "logits/chosen": -1.3526300191879272,
+      "logits/rejected": -1.2792448997497559,
+      "logps/chosen": -378.30126953125,
+      "logps/rejected": -415.57464599609375,
+      "loss": 0.4725,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.5904244184494019,
+      "rewards/margins": 1.3282153606414795,
+      "rewards/rejected": -1.9186397790908813,
+      "step": 110
+    },
+    {
+      "epoch": 0.13,
+      "learning_rate": 4.83695652173913e-07,
+      "logits/chosen": -1.4887703657150269,
+      "logits/rejected": -1.3336336612701416,
+      "logps/chosen": -374.025390625,
+      "logps/rejected": -446.5819396972656,
+      "loss": 0.4726,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.5127348899841309,
+      "rewards/margins": 1.7226130962371826,
+      "rewards/rejected": -2.2353477478027344,
+      "step": 120
+    },
+    {
+      "epoch": 0.14,
+      "learning_rate": 4.776570048309178e-07,
+      "logits/chosen": -1.2795524597167969,
+      "logits/rejected": -1.3249471187591553,
+      "logps/chosen": -375.96710205078125,
+      "logps/rejected": -457.1031188964844,
+      "loss": 0.4781,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.473715215921402,
+      "rewards/margins": 1.3638942241668701,
+      "rewards/rejected": -1.8376095294952393,
+      "step": 130
+    },
+    {
+      "epoch": 0.15,
+      "learning_rate": 4.716183574879227e-07,
+      "logits/chosen": -0.8936523199081421,
+      "logits/rejected": -0.731735348701477,
+      "logps/chosen": -377.02410888671875,
+      "logps/rejected": -374.2434387207031,
+      "loss": 0.4771,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.4292902946472168,
+      "rewards/margins": 1.5224840641021729,
+      "rewards/rejected": -1.9517742395401,
+      "step": 140
+    },
+    {
+      "epoch": 0.16,
+      "learning_rate": 4.655797101449275e-07,
+      "logits/chosen": -1.3006255626678467,
+      "logits/rejected": -1.1428701877593994,
+      "logps/chosen": -422.60986328125,
+      "logps/rejected": -394.9052429199219,
+      "loss": 0.4141,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.40644779801368713,
+      "rewards/margins": 1.319599986076355,
+      "rewards/rejected": -1.7260475158691406,
+      "step": 150
+    },
+    {
+      "epoch": 0.17,
+      "learning_rate": 4.5954106280193235e-07,
+      "logits/chosen": -1.3789948225021362,
+      "logits/rejected": -1.2863258123397827,
+      "logps/chosen": -305.4602355957031,
+      "logps/rejected": -374.1790466308594,
+      "loss": 0.4965,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.9782305955886841,
+      "rewards/margins": 1.459176778793335,
+      "rewards/rejected": -2.4374070167541504,
+      "step": 160
+    },
+    {
+      "epoch": 0.18,
+      "learning_rate": 4.5350241545893717e-07,
+      "logits/chosen": -1.4751253128051758,
+      "logits/rejected": -1.1761484146118164,
+      "logps/chosen": -395.0107727050781,
+      "logps/rejected": -390.03076171875,
+      "loss": 0.441,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.5482892394065857,
+      "rewards/margins": 1.585138201713562,
+      "rewards/rejected": -2.133427143096924,
+      "step": 170
+    },
+    {
+      "epoch": 0.2,
+      "learning_rate": 4.47463768115942e-07,
+      "logits/chosen": -1.6447718143463135,
+      "logits/rejected": -1.6261088848114014,
+      "logps/chosen": -430.76129150390625,
+      "logps/rejected": -425.74969482421875,
+      "loss": 0.4392,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.5816106796264648,
+      "rewards/margins": 1.8813564777374268,
+      "rewards/rejected": -2.4629669189453125,
+      "step": 180
+    },
+    {
+      "epoch": 0.21,
+      "learning_rate": 4.414251207729469e-07,
+      "logits/chosen": -1.2417869567871094,
+      "logits/rejected": -1.3334053754806519,
+      "logps/chosen": -337.415771484375,
+      "logps/rejected": -356.4654235839844,
+      "loss": 0.4574,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.755621075630188,
+      "rewards/margins": 1.5105997323989868,
+      "rewards/rejected": -2.266220808029175,
+      "step": 190
+    },
+    {
+      "epoch": 0.22,
+      "learning_rate": 4.3538647342995165e-07,
+      "logits/chosen": -1.5782802104949951,
+      "logits/rejected": -1.6571115255355835,
+      "logps/chosen": -431.74151611328125,
+      "logps/rejected": -431.4637145996094,
+      "loss": 0.4384,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.07804969698190689,
+      "rewards/margins": 1.6836214065551758,
+      "rewards/rejected": -1.7616710662841797,
+      "step": 200
+    },
+    {
+      "epoch": 0.22,
+      "eval_logits/chosen": -1.4511131048202515,
+      "eval_logits/rejected": -1.3157293796539307,
+      "eval_logps/chosen": -397.8616638183594,
+      "eval_logps/rejected": -405.7994079589844,
+      "eval_loss": 0.4556037187576294,
+      "eval_rewards/accuracies": 0.7936508059501648,
+      "eval_rewards/chosen": -0.3274631202220917,
+      "eval_rewards/margins": 1.6173655986785889,
+      "eval_rewards/rejected": -1.944828748703003,
+      "eval_runtime": 405.1145,
+      "eval_samples_per_second": 4.937,
+      "eval_steps_per_second": 0.156,
+      "step": 200
+    },
+    {
+      "epoch": 0.23,
+      "learning_rate": 4.2934782608695653e-07,
+      "logits/chosen": -0.9520143270492554,
+      "logits/rejected": -1.01302969455719,
+      "logps/chosen": -444.7759704589844,
+      "logps/rejected": -401.30389404296875,
+      "loss": 0.4141,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.38320282101631165,
+      "rewards/margins": 1.236628770828247,
+      "rewards/rejected": -1.6198316812515259,
+      "step": 210
+    },
+    {
+      "epoch": 0.24,
+      "learning_rate": 4.2330917874396135e-07,
+      "logits/chosen": -1.601231336593628,
+      "logits/rejected": -1.4172089099884033,
+      "logps/chosen": -431.98272705078125,
+      "logps/rejected": -412.7859802246094,
+      "loss": 0.4817,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.31900420784950256,
+      "rewards/margins": 1.7263078689575195,
+      "rewards/rejected": -2.0453121662139893,
+      "step": 220
+    },
+    {
+      "epoch": 0.25,
+      "learning_rate": 4.172705314009662e-07,
+      "logits/chosen": -1.1527206897735596,
+      "logits/rejected": -0.8433942794799805,
+      "logps/chosen": -383.67559814453125,
+      "logps/rejected": -369.19342041015625,
+      "loss": 0.45,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.5148889422416687,
+      "rewards/margins": 1.6342861652374268,
+      "rewards/rejected": -2.1491751670837402,
+      "step": 230
+    },
+    {
+      "epoch": 0.26,
+      "learning_rate": 4.11231884057971e-07,
+      "logits/chosen": -1.3957723379135132,
+      "logits/rejected": -1.4669153690338135,
+      "logps/chosen": -366.89093017578125,
+      "logps/rejected": -381.7056579589844,
+      "loss": 0.4573,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.2394193708896637,
+      "rewards/margins": 1.0727304220199585,
+      "rewards/rejected": -1.3121497631072998,
+      "step": 240
+    },
+    {
+      "epoch": 0.27,
+      "learning_rate": 4.0519323671497583e-07,
+      "logits/chosen": -1.1060564517974854,
+      "logits/rejected": -1.020811676979065,
+      "logps/chosen": -431.10791015625,
+      "logps/rejected": -398.845458984375,
+      "loss": 0.4008,
+      "rewards/accuracies": 0.8374999761581421,
+      "rewards/chosen": -0.08395320922136307,
+      "rewards/margins": 1.6107537746429443,
+      "rewards/rejected": -1.694706916809082,
+      "step": 250
+    },
+    {
+      "epoch": 0.28,
+      "learning_rate": 3.9915458937198065e-07,
+      "logits/chosen": -1.0142405033111572,
+      "logits/rejected": -1.0058037042617798,
+      "logps/chosen": -404.4456481933594,
+      "logps/rejected": -417.4208984375,
+      "loss": 0.4342,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": 0.09296660125255585,
+      "rewards/margins": 1.8066604137420654,
+      "rewards/rejected": -1.713693618774414,
+      "step": 260
+    },
+    {
+      "epoch": 0.29,
+      "learning_rate": 3.9311594202898553e-07,
+      "logits/chosen": -0.816851794719696,
+      "logits/rejected": -0.7470394372940063,
+      "logps/chosen": -395.8139343261719,
+      "logps/rejected": -355.42071533203125,
+      "loss": 0.4899,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.38039931654930115,
+      "rewards/margins": 1.4586222171783447,
+      "rewards/rejected": -1.8390214443206787,
+      "step": 270
+    },
+    {
+      "epoch": 0.3,
+      "learning_rate": 3.870772946859903e-07,
+      "logits/chosen": -1.0235198736190796,
+      "logits/rejected": -1.009104609489441,
+      "logps/chosen": -419.8531188964844,
+      "logps/rejected": -417.8365783691406,
+      "loss": 0.4258,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.24367530643939972,
+      "rewards/margins": 1.267002820968628,
+      "rewards/rejected": -1.5106781721115112,
+      "step": 280
+    },
+    {
+      "epoch": 0.31,
+      "learning_rate": 3.810386473429952e-07,
+      "logits/chosen": -1.1125423908233643,
+      "logits/rejected": -1.093120813369751,
+      "logps/chosen": -347.3122863769531,
+      "logps/rejected": -387.7191467285156,
+      "loss": 0.435,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": 0.060557298362255096,
+      "rewards/margins": 1.8192393779754639,
+      "rewards/rejected": -1.7586820125579834,
+      "step": 290
+    },
+    {
+      "epoch": 0.33,
+      "learning_rate": 3.75e-07,
+      "logits/chosen": -1.1970382928848267,
+      "logits/rejected": -1.1414059400558472,
+      "logps/chosen": -380.08892822265625,
+      "logps/rejected": -393.11126708984375,
+      "loss": 0.4137,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.4049530625343323,
+      "rewards/margins": 1.5264403820037842,
+      "rewards/rejected": -1.9313932657241821,
+      "step": 300
+    },
+    {
+      "epoch": 0.34,
+      "learning_rate": 3.689613526570048e-07,
+      "logits/chosen": -1.4467629194259644,
+      "logits/rejected": -1.4420421123504639,
+      "logps/chosen": -412.6943359375,
+      "logps/rejected": -411.64031982421875,
+      "loss": 0.4545,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -0.44115525484085083,
+      "rewards/margins": 1.5014537572860718,
+      "rewards/rejected": -1.9426085948944092,
+      "step": 310
+    },
+    {
+      "epoch": 0.35,
+      "learning_rate": 3.6292270531400966e-07,
+      "logits/chosen": -1.576790690422058,
+      "logits/rejected": -1.605373740196228,
+      "logps/chosen": -442.7998046875,
+      "logps/rejected": -471.8130798339844,
+      "loss": 0.426,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.1621936857700348,
+      "rewards/margins": 1.6487839221954346,
+      "rewards/rejected": -1.810977578163147,
+      "step": 320
+    },
+    {
+      "epoch": 0.36,
+      "learning_rate": 3.5688405797101443e-07,
+      "logits/chosen": -1.3066380023956299,
+      "logits/rejected": -1.1275885105133057,
+      "logps/chosen": -369.5173034667969,
+      "logps/rejected": -393.6142883300781,
+      "loss": 0.4594,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.3911195993423462,
+      "rewards/margins": 1.561603307723999,
+      "rewards/rejected": -1.9527229070663452,
+      "step": 330
+    },
+    {
+      "epoch": 0.37,
+      "learning_rate": 3.508454106280193e-07,
+      "logits/chosen": -1.460533857345581,
+      "logits/rejected": -1.3913938999176025,
+      "logps/chosen": -461.4322814941406,
+      "logps/rejected": -443.2294006347656,
+      "loss": 0.4343,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": 0.05905343219637871,
+      "rewards/margins": 1.777876615524292,
+      "rewards/rejected": -1.7188230752944946,
+      "step": 340
+    },
+    {
+      "epoch": 0.38,
+      "learning_rate": 3.4480676328502414e-07,
+      "logits/chosen": -1.0480554103851318,
+      "logits/rejected": -0.939221203327179,
+      "logps/chosen": -389.5008544921875,
+      "logps/rejected": -391.26678466796875,
+      "loss": 0.4464,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.5172668099403381,
+      "rewards/margins": 1.5226786136627197,
+      "rewards/rejected": -2.039945125579834,
+      "step": 350
+    },
+    {
+      "epoch": 0.39,
+      "learning_rate": 3.3876811594202896e-07,
+      "logits/chosen": -1.367060899734497,
+      "logits/rejected": -1.250497579574585,
+      "logps/chosen": -374.1922302246094,
+      "logps/rejected": -377.8554382324219,
+      "loss": 0.4265,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.34825998544692993,
+      "rewards/margins": 1.6436443328857422,
+      "rewards/rejected": -1.9919040203094482,
+      "step": 360
+    },
+    {
+      "epoch": 0.4,
+      "learning_rate": 3.327294685990338e-07,
+      "logits/chosen": -1.4619824886322021,
+      "logits/rejected": -1.224457025527954,
+      "logps/chosen": -394.55694580078125,
+      "logps/rejected": -406.80389404296875,
+      "loss": 0.4343,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": 0.11512075364589691,
+      "rewards/margins": 1.9784886837005615,
+      "rewards/rejected": -1.863368034362793,
+      "step": 370
+    },
+    {
+      "epoch": 0.41,
+      "learning_rate": 3.266908212560386e-07,
+      "logits/chosen": -1.5472246408462524,
+      "logits/rejected": -1.3760802745819092,
+      "logps/chosen": -370.1455993652344,
+      "logps/rejected": -360.59735107421875,
+      "loss": 0.4365,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.24435913562774658,
+      "rewards/margins": 1.2893067598342896,
+      "rewards/rejected": -1.5336658954620361,
+      "step": 380
+    },
+    {
+      "epoch": 0.42,
+      "learning_rate": 3.2065217391304344e-07,
+      "logits/chosen": -1.3668596744537354,
+      "logits/rejected": -1.2702538967132568,
+      "logps/chosen": -429.017822265625,
+      "logps/rejected": -415.56439208984375,
+      "loss": 0.4121,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.2810801863670349,
+      "rewards/margins": 1.7658510208129883,
+      "rewards/rejected": -2.046931028366089,
+      "step": 390
+    },
+    {
+      "epoch": 0.43,
+      "learning_rate": 3.146135265700483e-07,
+      "logits/chosen": -1.3646513223648071,
+      "logits/rejected": -1.072363257408142,
+      "logps/chosen": -390.0302429199219,
+      "logps/rejected": -395.0215148925781,
+      "loss": 0.4064,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.38891416788101196,
+      "rewards/margins": 1.990821123123169,
+      "rewards/rejected": -2.379735231399536,
+      "step": 400
+    },
+    {
+      "epoch": 0.43,
+      "eval_logits/chosen": -0.6539027094841003,
+      "eval_logits/rejected": -0.7660450339317322,
+      "eval_logps/chosen": -396.7496032714844,
+      "eval_logps/rejected": -408.44091796875,
+      "eval_loss": 0.4285692274570465,
+      "eval_rewards/accuracies": 0.8253968358039856,
+      "eval_rewards/chosen": -0.21625187993049622,
+      "eval_rewards/margins": 1.9927276372909546,
+      "eval_rewards/rejected": -2.208979606628418,
+      "eval_runtime": 409.2634,
+      "eval_samples_per_second": 4.887,
+      "eval_steps_per_second": 0.154,
+      "step": 400
+    },
+    {
+      "epoch": 0.45,
+      "learning_rate": 3.085748792270531e-07,
+      "logits/chosen": -1.2127052545547485,
+      "logits/rejected": -1.2303555011749268,
+      "logps/chosen": -399.98858642578125,
+      "logps/rejected": -388.2366638183594,
+      "loss": 0.4587,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.6597892642021179,
+      "rewards/margins": 1.7150468826293945,
+      "rewards/rejected": -2.3748364448547363,
+      "step": 410
+    },
+    {
+      "epoch": 0.46,
+      "learning_rate": 3.0253623188405797e-07,
+      "logits/chosen": -1.6032695770263672,
+      "logits/rejected": -1.3187893629074097,
+      "logps/chosen": -347.73553466796875,
+      "logps/rejected": -366.84814453125,
+      "loss": 0.4217,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.20497450232505798,
+      "rewards/margins": 1.4589314460754395,
+      "rewards/rejected": -1.6639057397842407,
+      "step": 420
+    },
+    {
+      "epoch": 0.47,
+      "learning_rate": 2.964975845410628e-07,
+      "logits/chosen": -1.4543535709381104,
+      "logits/rejected": -1.2742624282836914,
+      "logps/chosen": -423.95111083984375,
+      "logps/rejected": -437.7804260253906,
+      "loss": 0.4479,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": 0.25907284021377563,
+      "rewards/margins": 2.2142040729522705,
+      "rewards/rejected": -1.9551312923431396,
+      "step": 430
+    },
+    {
+      "epoch": 0.48,
+      "learning_rate": 2.904589371980676e-07,
+      "logits/chosen": -1.9760487079620361,
+      "logits/rejected": -1.7164779901504517,
+      "logps/chosen": -386.17193603515625,
+      "logps/rejected": -450.7064514160156,
+      "loss": 0.4361,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -0.34018686413764954,
+      "rewards/margins": 1.6212705373764038,
+      "rewards/rejected": -1.9614572525024414,
+      "step": 440
+    },
+    {
+      "epoch": 0.49,
+      "learning_rate": 2.8442028985507245e-07,
+      "logits/chosen": -1.5040684938430786,
+      "logits/rejected": -1.4459855556488037,
+      "logps/chosen": -410.3436584472656,
+      "logps/rejected": -438.83837890625,
+      "loss": 0.4386,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.016602765768766403,
+      "rewards/margins": 1.8991400003433228,
+      "rewards/rejected": -1.9157428741455078,
+      "step": 450
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 2.7838164251207727e-07,
+      "logits/chosen": -1.193297266960144,
+      "logits/rejected": -0.9360073804855347,
+      "logps/chosen": -415.88568115234375,
+      "logps/rejected": -389.2828674316406,
+      "loss": 0.4233,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": 0.08352740854024887,
+      "rewards/margins": 2.2130849361419678,
+      "rewards/rejected": -2.1295576095581055,
+      "step": 460
+    },
+    {
+      "epoch": 0.51,
+      "learning_rate": 2.723429951690821e-07,
+      "logits/chosen": -1.5409491062164307,
+      "logits/rejected": -1.7222496271133423,
+      "logps/chosen": -426.3505859375,
+      "logps/rejected": -415.15753173828125,
+      "loss": 0.3939,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": -0.04843442887067795,
+      "rewards/margins": 2.11486554145813,
+      "rewards/rejected": -2.163300037384033,
+      "step": 470
+    },
+    {
+      "epoch": 0.52,
+      "learning_rate": 2.66304347826087e-07,
+      "logits/chosen": -1.1968003511428833,
+      "logits/rejected": -1.0116466283798218,
+      "logps/chosen": -381.65277099609375,
+      "logps/rejected": -407.2720642089844,
+      "loss": 0.4468,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": 0.10518859326839447,
+      "rewards/margins": 2.6760292053222656,
+      "rewards/rejected": -2.570840358734131,
+      "step": 480
+    },
+    {
+      "epoch": 0.53,
+      "learning_rate": 2.6026570048309175e-07,
+      "logits/chosen": -1.5621907711029053,
+      "logits/rejected": -1.4111429452896118,
+      "logps/chosen": -331.765380859375,
+      "logps/rejected": -345.84417724609375,
+      "loss": 0.4083,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.2680264115333557,
+      "rewards/margins": 1.9610168933868408,
+      "rewards/rejected": -2.229043483734131,
+      "step": 490
+    },
+    {
+      "epoch": 0.54,
+      "learning_rate": 2.5422705314009663e-07,
+      "logits/chosen": -1.137390375137329,
+      "logits/rejected": -0.9998054504394531,
+      "logps/chosen": -393.7897644042969,
+      "logps/rejected": -426.21612548828125,
+      "loss": 0.4487,
+      "rewards/accuracies": 0.7124999761581421,
+      "rewards/chosen": -0.3346656262874603,
+      "rewards/margins": 1.5842936038970947,
+      "rewards/rejected": -1.9189590215682983,
+      "step": 500
+    },
+    {
+      "epoch": 0.55,
+      "learning_rate": 2.4818840579710145e-07,
+      "logits/chosen": -1.2915681600570679,
+      "logits/rejected": -1.1393409967422485,
+      "logps/chosen": -476.5746154785156,
+      "logps/rejected": -397.6057434082031,
+      "loss": 0.4763,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.33603593707084656,
+      "rewards/margins": 1.7989603281021118,
+      "rewards/rejected": -2.134996175765991,
+      "step": 510
+    },
+    {
+      "epoch": 0.56,
+      "learning_rate": 2.421497584541063e-07,
+      "logits/chosen": -1.4665111303329468,
+      "logits/rejected": -1.4302623271942139,
+      "logps/chosen": -410.9242248535156,
+      "logps/rejected": -435.70721435546875,
+      "loss": 0.4378,
+      "rewards/accuracies": 0.75,
+      "rewards/chosen": -0.36040204763412476,
+      "rewards/margins": 1.7777122259140015,
+      "rewards/rejected": -2.1381144523620605,
+      "step": 520
+    },
+    {
+      "epoch": 0.58,
+      "learning_rate": 2.361111111111111e-07,
+      "logits/chosen": -1.3417316675186157,
+      "logits/rejected": -1.2472248077392578,
+      "logps/chosen": -396.3175354003906,
+      "logps/rejected": -406.9625244140625,
+      "loss": 0.3857,
+      "rewards/accuracies": 0.862500011920929,
+      "rewards/chosen": 0.186844140291214,
+      "rewards/margins": 2.318281650543213,
+      "rewards/rejected": -2.131437301635742,
+      "step": 530
+    },
+    {
+      "epoch": 0.59,
+      "learning_rate": 2.3007246376811593e-07,
+      "logits/chosen": -1.5599995851516724,
+      "logits/rejected": -1.4291542768478394,
+      "logps/chosen": -411.170654296875,
+      "logps/rejected": -423.13177490234375,
+      "loss": 0.4244,
+      "rewards/accuracies": 0.875,
+      "rewards/chosen": -0.1071757823228836,
+      "rewards/margins": 1.971361517906189,
+      "rewards/rejected": -2.0785374641418457,
+      "step": 540
+    },
+    {
+      "epoch": 0.6,
+      "learning_rate": 2.2403381642512075e-07,
+      "logits/chosen": -1.2990379333496094,
+      "logits/rejected": -1.1973732709884644,
+      "logps/chosen": -418.79437255859375,
+      "logps/rejected": -472.189453125,
+      "loss": 0.4643,
+      "rewards/accuracies": 0.8374999761581421,
+      "rewards/chosen": 0.147103950381279,
+      "rewards/margins": 2.323150157928467,
+      "rewards/rejected": -2.176046371459961,
+      "step": 550
+    },
+    {
+      "epoch": 0.61,
+      "learning_rate": 2.1799516908212558e-07,
+      "logits/chosen": -1.8142582178115845,
+      "logits/rejected": -1.725685715675354,
+      "logps/chosen": -374.6809387207031,
+      "logps/rejected": -410.0592346191406,
+      "loss": 0.4145,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -0.23340897262096405,
+      "rewards/margins": 2.3226966857910156,
+      "rewards/rejected": -2.556105852127075,
+      "step": 560
+    },
+    {
+      "epoch": 0.62,
+      "learning_rate": 2.1195652173913043e-07,
+      "logits/chosen": -1.4505486488342285,
+      "logits/rejected": -1.3042548894882202,
+      "logps/chosen": -409.4254150390625,
+      "logps/rejected": -374.3670654296875,
+      "loss": 0.4178,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": 0.1292637288570404,
+      "rewards/margins": 2.543600082397461,
+      "rewards/rejected": -2.414336681365967,
+      "step": 570
+    },
+    {
+      "epoch": 0.63,
+      "learning_rate": 2.0591787439613526e-07,
+      "logits/chosen": -0.5316571593284607,
+      "logits/rejected": -0.45167016983032227,
+      "logps/chosen": -386.24517822265625,
+      "logps/rejected": -434.59393310546875,
+      "loss": 0.3853,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.4753696322441101,
+      "rewards/margins": 1.9324595928192139,
+      "rewards/rejected": -2.4078292846679688,
+      "step": 580
+    },
+    {
+      "epoch": 0.64,
+      "learning_rate": 1.9987922705314008e-07,
+      "logits/chosen": -1.3159304857254028,
+      "logits/rejected": -1.087425947189331,
+      "logps/chosen": -377.9801025390625,
+      "logps/rejected": -377.0760803222656,
+      "loss": 0.4461,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -0.38399359583854675,
+      "rewards/margins": 2.1969008445739746,
+      "rewards/rejected": -2.580894708633423,
+      "step": 590
+    },
+    {
+      "epoch": 0.65,
+      "learning_rate": 1.938405797101449e-07,
+      "logits/chosen": -0.9003721475601196,
+      "logits/rejected": -0.6628047227859497,
+      "logps/chosen": -435.5120544433594,
+      "logps/rejected": -446.45550537109375,
+      "loss": 0.3952,
+      "rewards/accuracies": 0.875,
+      "rewards/chosen": 0.012645396403968334,
+      "rewards/margins": 1.9577815532684326,
+      "rewards/rejected": -1.9451364278793335,
+      "step": 600
+    },
+    {
+      "epoch": 0.65,
+      "eval_logits/chosen": -0.7205740809440613,
+      "eval_logits/rejected": -0.6783490777015686,
+      "eval_logps/chosen": -395.8981628417969,
+      "eval_logps/rejected": -407.95367431640625,
+      "eval_loss": 0.42750075459480286,
+      "eval_rewards/accuracies": 0.8015872836112976,
+      "eval_rewards/chosen": -0.13110622763633728,
+      "eval_rewards/margins": 2.0291495323181152,
+      "eval_rewards/rejected": -2.1602559089660645,
+      "eval_runtime": 404.1135,
+      "eval_samples_per_second": 4.949,
+      "eval_steps_per_second": 0.156,
+      "step": 600
+    },
+    {
+      "epoch": 0.66,
+      "learning_rate": 1.8780193236714976e-07,
+      "logits/chosen": -0.49158763885498047,
+      "logits/rejected": -0.30927062034606934,
+      "logps/chosen": -421.99005126953125,
+      "logps/rejected": -378.0501708984375,
+      "loss": 0.4263,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.14008215069770813,
+      "rewards/margins": 1.6353435516357422,
+      "rewards/rejected": -1.775425672531128,
+      "step": 610
+    },
+    {
+      "epoch": 0.67,
+      "learning_rate": 1.8176328502415459e-07,
+      "logits/chosen": -1.3565137386322021,
+      "logits/rejected": -1.1652584075927734,
+      "logps/chosen": -450.35540771484375,
+      "logps/rejected": -436.74761962890625,
+      "loss": 0.4252,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.03007013536989689,
+      "rewards/margins": 1.9853531122207642,
+      "rewards/rejected": -2.01542329788208,
+      "step": 620
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 1.757246376811594e-07,
+      "logits/chosen": -0.015371406450867653,
+      "logits/rejected": -0.01580933667719364,
+      "logps/chosen": -382.2900390625,
+      "logps/rejected": -360.01446533203125,
+      "loss": 0.3848,
+      "rewards/accuracies": 0.949999988079071,
+      "rewards/chosen": 0.17353440821170807,
+      "rewards/margins": 2.286402940750122,
+      "rewards/rejected": -2.1128687858581543,
+      "step": 630
+    },
+    {
+      "epoch": 0.69,
+      "learning_rate": 1.6968599033816424e-07,
+      "logits/chosen": 0.3802258372306824,
+      "logits/rejected": 0.4669532775878906,
+      "logps/chosen": -355.05322265625,
+      "logps/rejected": -390.06976318359375,
+      "loss": 0.4137,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.6333318948745728,
+      "rewards/margins": 1.6801398992538452,
+      "rewards/rejected": -2.313471794128418,
+      "step": 640
+    },
+    {
+      "epoch": 0.71,
+      "learning_rate": 1.636473429951691e-07,
+      "logits/chosen": 0.4362594485282898,
+      "logits/rejected": 0.5603054761886597,
+      "logps/chosen": -411.2711486816406,
+      "logps/rejected": -398.11346435546875,
+      "loss": 0.4552,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.7625397443771362,
+      "rewards/margins": 1.8215090036392212,
+      "rewards/rejected": -2.5840485095977783,
+      "step": 650
+    },
+    {
+      "epoch": 0.72,
+      "learning_rate": 1.5760869565217392e-07,
+      "logits/chosen": 0.4388657212257385,
+      "logits/rejected": 0.8059428334236145,
+      "logps/chosen": -406.7152404785156,
+      "logps/rejected": -383.4807434082031,
+      "loss": 0.4061,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.5559307336807251,
+      "rewards/margins": 1.9154608249664307,
+      "rewards/rejected": -2.4713916778564453,
+      "step": 660
+    },
+    {
+      "epoch": 0.73,
+      "learning_rate": 1.5157004830917874e-07,
+      "logits/chosen": 0.707136332988739,
+      "logits/rejected": 0.8469961881637573,
+      "logps/chosen": -373.77032470703125,
+      "logps/rejected": -383.32525634765625,
+      "loss": 0.4709,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.159020334482193,
+      "rewards/margins": 1.6874653100967407,
+      "rewards/rejected": -1.8464854955673218,
+      "step": 670
+    },
+    {
+      "epoch": 0.74,
+      "learning_rate": 1.4553140096618357e-07,
+      "logits/chosen": -0.08916174620389938,
+      "logits/rejected": -0.07962872833013535,
+      "logps/chosen": -403.15765380859375,
+      "logps/rejected": -382.7056884765625,
+      "loss": 0.4123,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": 0.1752249300479889,
+      "rewards/margins": 2.1825637817382812,
+      "rewards/rejected": -2.007338762283325,
+      "step": 680
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 1.3949275362318842e-07,
+      "logits/chosen": 0.2861272692680359,
+      "logits/rejected": 0.5865569114685059,
+      "logps/chosen": -438.97808837890625,
+      "logps/rejected": -424.977294921875,
+      "loss": 0.3888,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.10896565020084381,
+      "rewards/margins": 1.5186336040496826,
+      "rewards/rejected": -1.6275993585586548,
+      "step": 690
+    },
+    {
+      "epoch": 0.76,
+      "learning_rate": 1.3345410628019324e-07,
+      "logits/chosen": 0.7959792017936707,
+      "logits/rejected": 1.0797499418258667,
+      "logps/chosen": -399.54302978515625,
+      "logps/rejected": -411.88824462890625,
+      "loss": 0.4496,
+      "rewards/accuracies": 0.737500011920929,
+      "rewards/chosen": -0.02021363377571106,
+      "rewards/margins": 2.1036648750305176,
+      "rewards/rejected": -2.1238787174224854,
+      "step": 700
+    },
+    {
+      "epoch": 0.77,
+      "learning_rate": 1.2741545893719807e-07,
+      "logits/chosen": 0.061588358134031296,
+      "logits/rejected": 0.5792427659034729,
+      "logps/chosen": -389.0401611328125,
+      "logps/rejected": -442.1222229003906,
+      "loss": 0.461,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.3942088484764099,
+      "rewards/margins": 1.9804880619049072,
+      "rewards/rejected": -2.3746962547302246,
+      "step": 710
+    },
+    {
+      "epoch": 0.78,
+      "learning_rate": 1.213768115942029e-07,
+      "logits/chosen": -0.3789304494857788,
+      "logits/rejected": -0.5976569056510925,
+      "logps/chosen": -383.9620056152344,
+      "logps/rejected": -411.39923095703125,
+      "loss": 0.3725,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.1539289653301239,
+      "rewards/margins": 2.0121874809265137,
+      "rewards/rejected": -2.166116237640381,
+      "step": 720
+    },
+    {
+      "epoch": 0.79,
+      "learning_rate": 1.1533816425120772e-07,
+      "logits/chosen": -0.32424452900886536,
+      "logits/rejected": 0.054877616465091705,
+      "logps/chosen": -399.9856262207031,
+      "logps/rejected": -433.40008544921875,
+      "loss": 0.4335,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.20857331156730652,
+      "rewards/margins": 1.7776143550872803,
+      "rewards/rejected": -1.9861876964569092,
+      "step": 730
+    },
+    {
+      "epoch": 0.8,
+      "learning_rate": 1.0929951690821256e-07,
+      "logits/chosen": 0.7587161064147949,
+      "logits/rejected": 0.4672706127166748,
+      "logps/chosen": -394.1853942871094,
+      "logps/rejected": -397.8048095703125,
+      "loss": 0.4497,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": -0.04534666985273361,
+      "rewards/margins": 2.2218165397644043,
+      "rewards/rejected": -2.267162799835205,
+      "step": 740
+    },
+    {
+      "epoch": 0.81,
+      "learning_rate": 1.0326086956521738e-07,
+      "logits/chosen": -0.007064342498779297,
+      "logits/rejected": -0.10647717863321304,
+      "logps/chosen": -451.4822692871094,
+      "logps/rejected": -446.7669372558594,
+      "loss": 0.4347,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.011669009923934937,
+      "rewards/margins": 1.8043409585952759,
+      "rewards/rejected": -1.8160098791122437,
+      "step": 750
+    },
+    {
+      "epoch": 0.83,
+      "learning_rate": 9.722222222222222e-08,
+      "logits/chosen": -0.4753515124320984,
+      "logits/rejected": -0.590586245059967,
+      "logps/chosen": -471.35137939453125,
+      "logps/rejected": -436.88531494140625,
+      "loss": 0.386,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": 0.01547972857952118,
+      "rewards/margins": 2.1215872764587402,
+      "rewards/rejected": -2.106107473373413,
+      "step": 760
+    },
+    {
+      "epoch": 0.84,
+      "learning_rate": 9.118357487922705e-08,
+      "logits/chosen": -0.4006249010562897,
+      "logits/rejected": -0.5747838616371155,
+      "logps/chosen": -375.1439514160156,
+      "logps/rejected": -383.0394287109375,
+      "loss": 0.3963,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.3230701684951782,
+      "rewards/margins": 2.1252005100250244,
+      "rewards/rejected": -2.448270797729492,
+      "step": 770
+    },
+    {
+      "epoch": 0.85,
+      "learning_rate": 8.514492753623189e-08,
+      "logits/chosen": 0.18706265091896057,
+      "logits/rejected": 0.14009952545166016,
+      "logps/chosen": -381.85443115234375,
+      "logps/rejected": -417.75146484375,
+      "loss": 0.3904,
+      "rewards/accuracies": 0.7875000238418579,
+      "rewards/chosen": -0.3124622702598572,
+      "rewards/margins": 1.5956885814666748,
+      "rewards/rejected": -1.9081509113311768,
+      "step": 780
+    },
+    {
+      "epoch": 0.86,
+      "learning_rate": 7.910628019323671e-08,
+      "logits/chosen": 0.359174907207489,
+      "logits/rejected": 0.3385276198387146,
+      "logps/chosen": -429.9090270996094,
+      "logps/rejected": -362.47857666015625,
+      "loss": 0.4715,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.23555055260658264,
+      "rewards/margins": 1.2514636516571045,
+      "rewards/rejected": -1.4870140552520752,
+      "step": 790
+    },
+    {
+      "epoch": 0.87,
+      "learning_rate": 7.306763285024155e-08,
+      "logits/chosen": -0.1668163537979126,
+      "logits/rejected": 0.2065034657716751,
+      "logps/chosen": -394.82257080078125,
+      "logps/rejected": -394.52142333984375,
+      "loss": 0.3909,
+      "rewards/accuracies": 0.762499988079071,
+      "rewards/chosen": -0.4898454248905182,
+      "rewards/margins": 1.7736278772354126,
+      "rewards/rejected": -2.2634730339050293,
+      "step": 800
+    },
+    {
+      "epoch": 0.87,
+      "eval_logits/chosen": -0.773809552192688,
+      "eval_logits/rejected": -0.84580397605896,
+      "eval_logps/chosen": -396.8601989746094,
+      "eval_logps/rejected": -409.49676513671875,
+      "eval_loss": 0.41672879457473755,
+      "eval_rewards/accuracies": 0.8134920597076416,
+      "eval_rewards/chosen": -0.22731684148311615,
+      "eval_rewards/margins": 2.0872485637664795,
+      "eval_rewards/rejected": -2.3145651817321777,
+      "eval_runtime": 391.0713,
+      "eval_samples_per_second": 5.114,
+      "eval_steps_per_second": 0.161,
+      "step": 800
+    },
+    {
+      "epoch": 0.88,
+      "learning_rate": 6.702898550724638e-08,
+      "logits/chosen": -0.8055841326713562,
+      "logits/rejected": -0.8581466674804688,
+      "logps/chosen": -434.89300537109375,
+      "logps/rejected": -407.73486328125,
+      "loss": 0.4191,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -0.5859915018081665,
+      "rewards/margins": 1.8876674175262451,
+      "rewards/rejected": -2.473658800125122,
+      "step": 810
+    },
+    {
+      "epoch": 0.89,
+      "learning_rate": 6.09903381642512e-08,
+      "logits/chosen": -0.6149953603744507,
+      "logits/rejected": -0.6610177755355835,
+      "logps/chosen": -403.4602355957031,
+      "logps/rejected": -412.859619140625,
+      "loss": 0.3632,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": 0.0069200992584228516,
+      "rewards/margins": 2.4245333671569824,
+      "rewards/rejected": -2.4176132678985596,
+      "step": 820
+    },
+    {
+      "epoch": 0.9,
+      "learning_rate": 5.4951690821256036e-08,
+      "logits/chosen": -0.7099069356918335,
+      "logits/rejected": -0.5322675704956055,
+      "logps/chosen": -477.89080810546875,
+      "logps/rejected": -509.3751525878906,
+      "loss": 0.4242,
+      "rewards/accuracies": 0.862500011920929,
+      "rewards/chosen": 0.04087377339601517,
+      "rewards/margins": 2.5105957984924316,
+      "rewards/rejected": -2.469722270965576,
+      "step": 830
+    },
+    {
+      "epoch": 0.91,
+      "learning_rate": 4.891304347826087e-08,
+      "logits/chosen": -0.8323551416397095,
+      "logits/rejected": -0.5835217833518982,
+      "logps/chosen": -344.49261474609375,
+      "logps/rejected": -416.62738037109375,
+      "loss": 0.4114,
+      "rewards/accuracies": 0.7250000238418579,
+      "rewards/chosen": -0.43376049399375916,
+      "rewards/margins": 1.836294412612915,
+      "rewards/rejected": -2.270055055618286,
+      "step": 840
+    },
+    {
+      "epoch": 0.92,
+      "learning_rate": 4.28743961352657e-08,
+      "logits/chosen": -0.8896607160568237,
+      "logits/rejected": -0.9991308450698853,
+      "logps/chosen": -429.5093688964844,
+      "logps/rejected": -462.163330078125,
+      "loss": 0.4213,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": 0.14300577342510223,
+      "rewards/margins": 2.3328614234924316,
+      "rewards/rejected": -2.1898555755615234,
+      "step": 850
+    },
+    {
+      "epoch": 0.93,
+      "learning_rate": 3.6835748792270526e-08,
+      "logits/chosen": -1.5217692852020264,
+      "logits/rejected": -1.4032458066940308,
+      "logps/chosen": -445.5403747558594,
+      "logps/rejected": -484.6028747558594,
+      "loss": 0.4084,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.3494121730327606,
+      "rewards/margins": 1.832707166671753,
+      "rewards/rejected": -2.182119369506836,
+      "step": 860
+    },
+    {
+      "epoch": 0.94,
+      "learning_rate": 3.0797101449275364e-08,
+      "logits/chosen": -1.3731000423431396,
+      "logits/rejected": -1.262548804283142,
+      "logps/chosen": -421.68524169921875,
+      "logps/rejected": -415.681884765625,
+      "loss": 0.4108,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": 0.045568324625492096,
+      "rewards/margins": 2.3908283710479736,
+      "rewards/rejected": -2.34525990486145,
+      "step": 870
+    },
+    {
+      "epoch": 0.96,
+      "learning_rate": 2.475845410628019e-08,
+      "logits/chosen": -1.434045433998108,
+      "logits/rejected": -1.2689034938812256,
+      "logps/chosen": -386.4149169921875,
+      "logps/rejected": -396.9994812011719,
+      "loss": 0.4121,
+      "rewards/accuracies": 0.824999988079071,
+      "rewards/chosen": -0.10745694488286972,
+      "rewards/margins": 2.171525478363037,
+      "rewards/rejected": -2.278982400894165,
+      "step": 880
+    },
+    {
+      "epoch": 0.97,
+      "learning_rate": 1.8719806763285022e-08,
+      "logits/chosen": -1.6423695087432861,
+      "logits/rejected": -1.5149376392364502,
+      "logps/chosen": -413.06158447265625,
+      "logps/rejected": -437.2244567871094,
+      "loss": 0.3935,
+      "rewards/accuracies": 0.8125,
+      "rewards/chosen": -0.15360334515571594,
+      "rewards/margins": 2.0728042125701904,
+      "rewards/rejected": -2.226407527923584,
+      "step": 890
+    },
+    {
+      "epoch": 0.98,
+      "learning_rate": 1.2681159420289856e-08,
+      "logits/chosen": -0.9922491312026978,
+      "logits/rejected": -1.0585081577301025,
+      "logps/chosen": -401.11627197265625,
+      "logps/rejected": -402.2158508300781,
+      "loss": 0.3954,
+      "rewards/accuracies": 0.800000011920929,
+      "rewards/chosen": -0.1775648146867752,
+      "rewards/margins": 2.2243430614471436,
+      "rewards/rejected": -2.4019076824188232,
+      "step": 900
+    },
+    {
+      "epoch": 0.99,
+      "learning_rate": 6.642512077294686e-09,
+      "logits/chosen": 0.17671330273151398,
+      "logits/rejected": 0.08089754730463028,
+      "logps/chosen": -331.13409423828125,
+      "logps/rejected": -373.9659729003906,
+      "loss": 0.3714,
+      "rewards/accuracies": 0.7749999761581421,
+      "rewards/chosen": -0.24092864990234375,
+      "rewards/margins": 1.8302351236343384,
+      "rewards/rejected": -2.0711638927459717,
+      "step": 910
+    },
+    {
+      "epoch": 1.0,
+      "learning_rate": 6.038647342995168e-10,
+      "logits/chosen": -0.6910379528999329,
+      "logits/rejected": -0.7387306094169617,
+      "logps/chosen": -440.9806213378906,
+      "logps/rejected": -403.29083251953125,
+      "loss": 0.3947,
+      "rewards/accuracies": 0.8500000238418579,
+      "rewards/chosen": -0.311662882566452,
+      "rewards/margins": 2.3290438652038574,
+      "rewards/rejected": -2.640706777572632,
+      "step": 920
+    },
+    {
+      "epoch": 1.0,
+      "step": 921,
+      "total_flos": 0.0,
+      "train_loss": 0.4461688995361328,
+      "train_runtime": 44067.2139,
+      "train_samples_per_second": 1.337,
+      "train_steps_per_second": 0.021
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 921,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "total_flos": 0.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}