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dolphin-2.9-mixtral-8x22b-bpw2.5-exl2

Text Generation
Transformers
Safetensors
English
mixtral
Generated from Trainer
axolotl
conversational
text-generation-inference
Inference Endpoints
exl2
Model card Files Community
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  1. README.md +620 -0
  2. added_tokens.json +4 -0
  3. config.json +42 -0
  4. generation_config.json +7 -0
  5. model.safetensors.index.json +0 -0
  6. output-00001-of-00006.safetensors +3 -0
  7. output-00002-of-00006.safetensors +3 -0
  8. output-00003-of-00006.safetensors +3 -0
  9. output-00004-of-00006.safetensors +3 -0
  10. output-00005-of-00006.safetensors +3 -0
  11. output-00006-of-00006.safetensors +3 -0
  12. special_tokens_map.json +24 -0
  13. tokenizer.json +0 -0
  14. tokenizer.model +3 -0
  15. tokenizer_config.json +61 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: mistral-community/Mixtral-8x22B-v0.1
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+ tags:
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+ - generated_from_trainer
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+ - axolotl
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+ model-index:
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+ - name: out
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+ results: []
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+ datasets:
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+ - cognitivecomputations/Dolphin-2.9
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+ - teknium/OpenHermes-2.5
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - cognitivecomputations/dolphin-coder
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+ - cognitivecomputations/samantha-data
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+ - HuggingFaceH4/ultrachat_200k
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+ - microsoft/orca-math-word-problems-200k
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+ - abacusai/SystemChat-1.1
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+ - Locutusque/function-calling-chatml
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+ - internlm/Agent-FLAN
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+ language:
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+ - en
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+ ---
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+
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+ # Dolphin 2.9 Mixtral 8x22b 🐬
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+
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+ Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
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+
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+ Discord: https://discord.gg/8fbBeC7ZGx
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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+
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+ My appreciation for the sponsors of Dolphin 2.9:
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+ - [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node
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+
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+ This model is based on Dolphin-2.9-Mixtral-8x22b, and is Apache-2.0 licensed.
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+
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+ The base model has 64k context, and the full-weight fine-tuning was with 4k sequence length.
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+
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+ It took 1 week on 8xH100 provided by Crusoe Cloud
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+
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+ This model was trained FFT on 50% parameters (targeted with [Laser Scanner](https://github.com/cognitivecomputations/laserRMT/blob/main/laser_scanner.py) by Fernando Fernandes, David Golchinfar, Lucas Atkins, and Eric Hartford) , using ChatML prompt template format.
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+
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+ example:
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+
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+ ```
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+ <|im_start|>system
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+ You are Dolphin, a helpful AI assistant.<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+
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+ ```
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+
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+ Dolphin-2.9 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
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+
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+ Dolphin is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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+
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+ Dolphin is licensed Apache 2.0. I grant permission for any use, including commercial, that falls within accordance with Apache-2.0 license. Dolphin was trained on data generated from GPT4, among other models.
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+
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+ ## Evals
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/Nb6f_dS_M6fN_v2ACK98x.png)
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+
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+ ## Training
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+
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+ [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.0`
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+ ```yaml
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+ base_model: mistral-community/Mixtral-8x22B-v0.1
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ trust_remote_code: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ unfrozen_parameters:
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+ - ^lm_head.weight$
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+ - ^model.embed_tokens.weight$
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+ - model.layers.0.self_attn.q_proj
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+ - model.layers.1.self_attn.q_proj
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+
491
+ model_config:
492
+ output_router_logits: true
493
+
494
+ datasets:
495
+ - path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl
496
+ type: sharegpt
497
+ conversation: chatml
498
+ - path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl
499
+ type: sharegpt
500
+ conversation: chatml
501
+ - path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl
502
+ type: sharegpt
503
+ conversation: chatml
504
+ - path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl
505
+ type: sharegpt
506
+ conversation: chatml
507
+ - path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
508
+ type: sharegpt
509
+ conversation: chatml
510
+ - path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
511
+ type: sharegpt
512
+ conversation: chatml
513
+ - path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl
514
+ type: sharegpt
515
+ conversation: chatml
516
+ - path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl
517
+ type: sharegpt
518
+ conversation: chatml
519
+ - path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
520
+ type: sharegpt
521
+ conversation: chatml
522
+ - path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
523
+ type: sharegpt
524
+ conversation: chatml
525
+ - path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl
526
+ type: sharegpt
527
+ conversation: chatml
528
+ - path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
529
+ type: sharegpt
530
+ conversation: chatml
531
+ - path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
532
+ type: sharegpt
533
+ conversation: chatml
534
+ - path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl
535
+ type: sharegpt
536
+ conversation: chatml
537
+ - path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl
538
+ type: sharegpt
539
+ conversation: chatml
540
+
541
+ chat_template: chatml
542
+
543
+ dataset_prepared_path: thingy
544
+ val_set_size: 0.0002
545
+ output_dir: ./out
546
+
547
+ sequence_len: 4096
548
+ sample_packing: true
549
+ pad_to_sequence_len: true
550
+
551
+ gradient_accumulation_steps: 8
552
+ micro_batch_size: 4
553
+ num_epochs: 3
554
+ logging_steps: 1
555
+ optimizer: paged_adamw_8bit
556
+ lr_scheduler: cosine
557
+ learning_rate: 2.7e-5
558
+
559
+ wandb_project: dolphin-2.9-mixtral-8x22b
560
+ wandb_watch:
561
+ wandb_run_id:
562
+ wandb_log_model:
563
+
564
+ train_on_inputs: false
565
+ group_by_length: false
566
+ bf16: auto
567
+ fp16:
568
+ tf32: true
569
+
570
+ gradient_checkpointing: true
571
+ gradient_checkpointing_kwargs:
572
+ use_reentrant: false
573
+ early_stopping_patience:
574
+ # resume_from_checkpoint: /home/ehartford/axolotl/out/checkpoint-316
575
+ local_rank:
576
+ logging_steps: 1
577
+ xformers_attention:
578
+ flash_attention: true
579
+ saves_per_epoch: 8
580
+ save_total_limit: 2
581
+ save_steps:
582
+ evals_per_epoch: 4
583
+ eval_sample_packing: false
584
+ debug:
585
+ deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
586
+ weight_decay: 0.05
587
+ fsdp:
588
+ fsdp_config:
589
+ special_tokens:
590
+ eos_token: "<|im_end|>"
591
+ tokens:
592
+ - "<|im_start|>"
593
+ ```
594
+
595
+ </details><br>
596
+
597
+ ### Training results
598
+
599
+ | Training Loss | Epoch | Step | Validation Loss |
600
+ |:-------------:|:-----:|:----:|:---------------:|
601
+ | 0.7022 | 0.0 | 1 | 0.6989 |
602
+ | 0.5344 | 0.25 | 238 | 0.5138 |
603
+ | 0.5204 | 0.5 | 476 | 0.5018 |
604
+ | 0.5059 | 0.75 | 714 | 0.4951 |
605
+ | 0.5112 | 1.0 | 952 | 0.4911 |
606
+ | 0.4561 | 1.24 | 1190 | 0.4978 |
607
+ | 0.478 | 1.49 | 1428 | 0.4935 |
608
+ | 0.4714 | 1.74 | 1666 | 0.4899 |
609
+ | 0.4626 | 1.99 | 1904 | 0.4861 |
610
+ | 0.3675 | 2.22 | 2142 | 0.5240 |
611
+ | 0.3595 | 2.47 | 2380 | 0.5229 |
612
+ | 0.3438 | 2.72 | 2618 | 0.5217 |
613
+
614
+
615
+ ### Framework versions
616
+
617
+ - Transformers 4.40.0.dev0
618
+ - Pytorch 2.2.2+cu121
619
+ - Datasets 2.15.0
620
+ - Tokenizers 0.15.0
added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<|im_end|>": 32000,
3
+ "<|im_start|>": 32001
4
+ }
config.json ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "mistral-community/Mixtral-8x22B-v0.1",
3
+ "architectures": [
4
+ "MixtralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 32000,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 6144,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 16384,
13
+ "max_position_embeddings": 65536,
14
+ "model_type": "mixtral",
15
+ "num_attention_heads": 48,
16
+ "num_experts_per_tok": 2,
17
+ "num_hidden_layers": 56,
18
+ "num_key_value_heads": 8,
19
+ "num_local_experts": 8,
20
+ "output_router_logits": true,
21
+ "rms_norm_eps": 1e-05,
22
+ "rope_theta": 1000000,
23
+ "router_aux_loss_coef": 0.001,
24
+ "router_jitter_noise": 0.0,
25
+ "sliding_window": null,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "bfloat16",
28
+ "transformers_version": "4.40.0.dev0",
29
+ "use_cache": false,
30
+ "vocab_size": 32002,
31
+ "quantization_config": {
32
+ "quant_method": "exl2",
33
+ "version": "0.0.19",
34
+ "bits": 2.5,
35
+ "head_bits": 6,
36
+ "calibration": {
37
+ "rows": 100,
38
+ "length": 2048,
39
+ "dataset": "(default)"
40
+ }
41
+ }
42
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "do_sample": true,
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