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README.md

@@ -6,14 +6,14 @@ tags:
 - lazymergekit
 base_model:
 - mlabonne/NeuralBeagle14-7B
-- macadelicc/WestLake-7B-v2-laser-truthy-dpo
+- FelixChao/WestSeverus-7B-DPO-v2
 ---
 
 # WestBeagle-7B
 
 WestBeagle-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
-* [macadelicc/WestLake-7B-v2-laser-truthy-dpo](https://huggingface.co/macadelicc/WestLake-7B-v2-laser-truthy-dpo)
+* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
 
 ## 🧩 Configuration
 
@@ -22,7 +22,7 @@ slices:
  - sources:
       - model: mlabonne/NeuralBeagle14-7B
         layer_range: [0, 32]
-      - model: macadelicc/WestLake-7B-v2-laser-truthy-dpo
+      - model: FelixChao/WestSeverus-7B-DPO-v2
         layer_range: [0, 32]
 merge_method: slerp
 base_model: mlabonne/NeuralBeagle14-7B

config.json

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mlabonne/NeuralBeagle14-7B",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "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": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,17 @@
+
+slices:
+ - sources:
+      - model: mlabonne/NeuralBeagle14-7B
+        layer_range: [0, 32]
+      - model: FelixChao/WestSeverus-7B-DPO-v2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: mlabonne/NeuralBeagle14-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.4 # fallback for rest of tensors
+dtype: float16

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model-00002-of-00002.safetensors

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model.safetensors.index.json

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special_tokens_map.json

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tokenizer_config.json

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