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--- |
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license: other |
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license_name: tongyi-qianwen |
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license_link: >- |
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https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE |
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base_model: Qwen/Qwen2-72B |
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tags: |
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- generated_from_trainer |
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- axolotl |
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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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- microsoft/orca-math-word-problems-200k |
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- Locutusque/function-calling-chatml |
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- internlm/Agent-FLAN |
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--- |
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# BigStorm - ExLLamaV2 (Exl2) Quantization |
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- 7.0 bpw target |
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- 8 head bits |
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Enjoy! Raise an issue if you'd like other BPW levels. |
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**Base Model Card Follows:** |
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--- |
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# Dolphin 2.9.2 Qwen2 72B 🐬 |
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Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations |
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[](https://discord.gg/cognitivecomputations) |
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Discord: https://discord.gg/cognitivecomputations |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" /> |
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Our appreciation for the sponsors of Dolphin 2.9.2: |
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- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node |
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This model is based on Qwen2-72b, and is governed by [tongyi-qianwen license](LICENSE) |
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The base model has 128k context, and the full-weight fine-tuning was with 8k sequence length. |
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This model was trained FFT on parameters selected by [Laser Scanner](https://github.com/cognitivecomputations/laserRMT/blob/main/laser_scanner.py), using ChatML prompt template format. |
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example: |
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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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Dolphin-2.9.2 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. |
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Dolphin is uncensored. We 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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Dolphin is licensed according to Qwen's tongyi-qianwen license. We grant permission for any use, including commercial, that falls within accordance with said 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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[<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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axolotl version: `0.4.0` |
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```yaml |
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base_model: Qwen/Qwen2-72B |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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trust_remote_code: true |
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# load_in_8bit: true |
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# load_in_4bit: false |
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# strict: false |
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datasets: |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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- path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl |
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type: sharegpt |
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conversation: chatml |
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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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# mlp.down_proj layers |
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- model.layers.62.mlp.down_proj |
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- model.layers.63.mlp.down_proj |
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- model.layers.66.mlp.down_proj |
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- model.layers.65.mlp.down_proj |
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- model.layers.64.mlp.down_proj |
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- model.layers.67.mlp.down_proj |
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- model.layers.68.mlp.down_proj |
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- model.layers.60.mlp.down_proj |
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- model.layers.31.mlp.down_proj |
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- model.layers.69.mlp.down_proj |
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- model.layers.61.mlp.down_proj |
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- model.layers.59.mlp.down_proj |
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- model.layers.70.mlp.down_proj |
|
- model.layers.30.mlp.down_proj |
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- model.layers.76.mlp.down_proj |
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- model.layers.72.mlp.down_proj |
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- model.layers.77.mlp.down_proj |
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- model.layers.71.mlp.down_proj |
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- model.layers.29.mlp.down_proj |
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- model.layers.58.mlp.down_proj |
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- model.layers.75.mlp.down_proj |
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- model.layers.32.mlp.down_proj |
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- model.layers.56.mlp.down_proj |
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- model.layers.28.mlp.down_proj |
|
- model.layers.26.mlp.down_proj |
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- model.layers.33.mlp.down_proj |
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- model.layers.34.mlp.down_proj |
|
- model.layers.57.mlp.down_proj |
|
- model.layers.27.mlp.down_proj |
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- model.layers.25.mlp.down_proj |
|
- model.layers.35.mlp.down_proj |
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- model.layers.73.mlp.down_proj |
|
- model.layers.24.mlp.down_proj |
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- model.layers.78.mlp.down_proj |
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- model.layers.74.mlp.down_proj |
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- model.layers.54.mlp.down_proj |
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# mlp.gate_proj layers |
|
- model.layers.78.mlp.gate_proj |
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- model.layers.77.mlp.gate_proj |
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- model.layers.76.mlp.gate_proj |
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- model.layers.79.mlp.gate_proj |
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- model.layers.75.mlp.gate_proj |
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- model.layers.74.mlp.gate_proj |
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- model.layers.73.mlp.gate_proj |
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- model.layers.70.mlp.gate_proj |
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- model.layers.72.mlp.gate_proj |
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- model.layers.71.mlp.gate_proj |
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- model.layers.69.mlp.gate_proj |
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- model.layers.54.mlp.gate_proj |
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- model.layers.68.mlp.gate_proj |
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- model.layers.57.mlp.gate_proj |
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- model.layers.63.mlp.gate_proj |
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- model.layers.49.mlp.gate_proj |
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- model.layers.55.mlp.gate_proj |
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- model.layers.53.mlp.gate_proj |
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- model.layers.44.mlp.gate_proj |
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- model.layers.46.mlp.gate_proj |
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- model.layers.67.mlp.gate_proj |
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- model.layers.58.mlp.gate_proj |
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- model.layers.56.mlp.gate_proj |
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- model.layers.45.mlp.gate_proj |
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- model.layers.50.mlp.gate_proj |
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- model.layers.62.mlp.gate_proj |
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- model.layers.64.mlp.gate_proj |
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- model.layers.48.mlp.gate_proj |
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- model.layers.66.mlp.gate_proj |
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- model.layers.52.mlp.gate_proj |
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- model.layers.40.mlp.gate_proj |
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- model.layers.47.mlp.gate_proj |
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- model.layers.43.mlp.gate_proj |
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- model.layers.65.mlp.gate_proj |
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- model.layers.61.mlp.gate_proj |
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- model.layers.59.mlp.gate_proj |
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# mlp.up_proj layers |
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- model.layers.69.mlp.up_proj |
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- model.layers.70.mlp.up_proj |
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- model.layers.71.mlp.up_proj |
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- model.layers.68.mlp.up_proj |
|
- model.layers.67.mlp.up_proj |
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- model.layers.66.mlp.up_proj |
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- model.layers.46.mlp.up_proj |
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- model.layers.63.mlp.up_proj |
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- model.layers.72.mlp.up_proj |
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- model.layers.64.mlp.up_proj |
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- model.layers.62.mlp.up_proj |
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- model.layers.45.mlp.up_proj |
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- model.layers.65.mlp.up_proj |
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- model.layers.73.mlp.up_proj |
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- model.layers.47.mlp.up_proj |
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- model.layers.44.mlp.up_proj |
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- model.layers.49.mlp.up_proj |
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- model.layers.48.mlp.up_proj |
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- model.layers.53.mlp.up_proj |
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- model.layers.74.mlp.up_proj |
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- model.layers.75.mlp.up_proj |
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- model.layers.57.mlp.up_proj |
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- model.layers.76.mlp.up_proj |
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- model.layers.43.mlp.up_proj |
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- model.layers.42.mlp.up_proj |
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- model.layers.61.mlp.up_proj |
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- model.layers.40.mlp.up_proj |
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- model.layers.56.mlp.up_proj |
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- model.layers.60.mlp.up_proj |
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- model.layers.31.mlp.up_proj |
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- model.layers.54.mlp.up_proj |
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- model.layers.55.mlp.up_proj |
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- model.layers.32.mlp.up_proj |
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- model.layers.41.mlp.up_proj |
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- model.layers.33.mlp.up_proj |
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- model.layers.58.mlp.up_proj |
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# self_attn.k_proj layers |
|
- model.layers.79.self_attn.k_proj |
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- model.layers.36.self_attn.k_proj |
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- model.layers.35.self_attn.k_proj |
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- model.layers.74.self_attn.k_proj |
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- model.layers.34.self_attn.k_proj |
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- model.layers.78.self_attn.k_proj |
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- model.layers.77.self_attn.k_proj |
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- model.layers.37.self_attn.k_proj |
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- model.layers.39.self_attn.k_proj |
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- model.layers.41.self_attn.k_proj |
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- model.layers.38.self_attn.k_proj |
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- model.layers.33.self_attn.k_proj |
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- model.layers.69.self_attn.k_proj |
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- model.layers.42.self_attn.k_proj |
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- model.layers.32.self_attn.k_proj |
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- model.layers.25.self_attn.k_proj |
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- model.layers.70.self_attn.k_proj |
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- model.layers.22.self_attn.k_proj |
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- model.layers.63.self_attn.k_proj |
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- model.layers.29.self_attn.k_proj |
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- model.layers.68.self_attn.k_proj |
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- model.layers.24.self_attn.k_proj |
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- model.layers.30.self_attn.k_proj |
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- model.layers.66.self_attn.k_proj |
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- model.layers.31.self_attn.k_proj |
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- model.layers.23.self_attn.k_proj |
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- model.layers.65.self_attn.k_proj |
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- model.layers.57.self_attn.k_proj |
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- model.layers.28.self_attn.k_proj |
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- model.layers.64.self_attn.k_proj |
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- model.layers.44.self_attn.k_proj |
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- model.layers.27.self_attn.k_proj |
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- model.layers.75.self_attn.k_proj |
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- model.layers.40.self_attn.k_proj |
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- model.layers.26.self_attn.k_proj |
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- model.layers.61.self_attn.k_proj |
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# self_attn.o_proj layers |
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- model.layers.14.self_attn.o_proj |
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- model.layers.39.self_attn.o_proj |
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- model.layers.19.self_attn.o_proj |
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- model.layers.16.self_attn.o_proj |
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- model.layers.17.self_attn.o_proj |
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- model.layers.15.self_attn.o_proj |
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- model.layers.69.self_attn.o_proj |
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- model.layers.12.self_attn.o_proj |
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- model.layers.42.self_attn.o_proj |
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- model.layers.23.self_attn.o_proj |
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- model.layers.22.self_attn.o_proj |
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- model.layers.29.self_attn.o_proj |
|
- model.layers.13.self_attn.o_proj |
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- model.layers.46.self_attn.o_proj |
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- model.layers.52.self_attn.o_proj |
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- model.layers.26.self_attn.o_proj |
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- model.layers.38.self_attn.o_proj |
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- model.layers.41.self_attn.o_proj |
|
- model.layers.18.self_attn.o_proj |
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- model.layers.49.self_attn.o_proj |
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- model.layers.11.self_attn.o_proj |
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- model.layers.28.self_attn.o_proj |
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- model.layers.25.self_attn.o_proj |
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- model.layers.47.self_attn.o_proj |
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- model.layers.53.self_attn.o_proj |
|
- model.layers.27.self_attn.o_proj |
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- model.layers.37.self_attn.o_proj |
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- model.layers.20.self_attn.o_proj |
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- model.layers.43.self_attn.o_proj |
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- model.layers.44.self_attn.o_proj |
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- model.layers.45.self_attn.o_proj |
|
- model.layers.30.self_attn.o_proj |
|
- model.layers.24.self_attn.o_proj |
|
- model.layers.21.self_attn.o_proj |
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- model.layers.10.self_attn.o_proj |
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- model.layers.3.self_attn.o_proj |
|
# self_attn.q_proj layers |
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- model.layers.1.self_attn.q_proj |
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- model.layers.2.self_attn.q_proj |
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- model.layers.3.self_attn.q_proj |
|
- model.layers.5.self_attn.q_proj |
|
- model.layers.4.self_attn.q_proj |
|
- model.layers.0.self_attn.q_proj |
|
- model.layers.6.self_attn.q_proj |
|
- model.layers.8.self_attn.q_proj |
|
- model.layers.7.self_attn.q_proj |
|
- model.layers.9.self_attn.q_proj |
|
- model.layers.10.self_attn.q_proj |
|
- model.layers.12.self_attn.q_proj |
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- model.layers.19.self_attn.q_proj |
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- model.layers.18.self_attn.q_proj |
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- model.layers.25.self_attn.q_proj |
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- model.layers.11.self_attn.q_proj |
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- model.layers.15.self_attn.q_proj |
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- model.layers.61.self_attn.q_proj |
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- model.layers.17.self_attn.q_proj |
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- model.layers.55.self_attn.q_proj |
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- model.layers.54.self_attn.q_proj |
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- model.layers.16.self_attn.q_proj |
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- model.layers.68.self_attn.q_proj |
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- model.layers.49.self_attn.q_proj |
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- model.layers.48.self_attn.q_proj |
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- model.layers.52.self_attn.q_proj |
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- model.layers.13.self_attn.q_proj |
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- model.layers.42.self_attn.q_proj |
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- model.layers.57.self_attn.q_proj |
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- model.layers.60.self_attn.q_proj |
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- model.layers.53.self_attn.q_proj |
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- model.layers.64.self_attn.q_proj |
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- model.layers.66.self_attn.q_proj |
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- model.layers.62.self_attn.q_proj |
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- model.layers.59.self_attn.q_proj |
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- model.layers.50.self_attn.q_proj |
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# self_attn.v_proj layers |
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- model.layers.15.self_attn.v_proj |
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- model.layers.16.self_attn.v_proj |
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- model.layers.23.self_attn.v_proj |
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- model.layers.24.self_attn.v_proj |
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- model.layers.25.self_attn.v_proj |
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- model.layers.26.self_attn.v_proj |
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- model.layers.27.self_attn.v_proj |
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- model.layers.28.self_attn.v_proj |
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- model.layers.29.self_attn.v_proj |
|
- model.layers.30.self_attn.v_proj |
|
- model.layers.31.self_attn.v_proj |
|
- model.layers.32.self_attn.v_proj |
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- model.layers.33.self_attn.v_proj |
|
- model.layers.34.self_attn.v_proj |
|
- model.layers.35.self_attn.v_proj |
|
- model.layers.36.self_attn.v_proj |
|
- model.layers.37.self_attn.v_proj |
|
- model.layers.38.self_attn.v_proj |
|
- model.layers.39.self_attn.v_proj |
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- model.layers.41.self_attn.v_proj |
|
- model.layers.42.self_attn.v_proj |
|
- model.layers.48.self_attn.v_proj |
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- model.layers.53.self_attn.v_proj |
|
- model.layers.57.self_attn.v_proj |
|
- model.layers.58.self_attn.v_proj |
|
- model.layers.59.self_attn.v_proj |
|
- model.layers.61.self_attn.v_proj |
|
- model.layers.63.self_attn.v_proj |
|
- model.layers.64.self_attn.v_proj |
|
- model.layers.65.self_attn.v_proj |
|
- model.layers.66.self_attn.v_proj |
|
- model.layers.69.self_attn.v_proj |
|
- model.layers.74.self_attn.v_proj |
|
- model.layers.75.self_attn.v_proj |
|
- model.layers.76.self_attn.v_proj |
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- model.layers.72.self_attn.v_proj |
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|
|
|
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chat_template: chatml |
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dataset_prepared_path: qwen2-72b-data |
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val_set_size: 0.01 |
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output_dir: qwen2-72b |
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|
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sequence_len: 8192 # supports up to 8192 |
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sample_packing: true |
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pad_to_sequence_len: true |
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|
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# adapter: lora |
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# lora_model_dir: |
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# lora_r: 32 |
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# lora_alpha: 16 |
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# lora_dropout: 0.05 |
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# lora_target_linear: true |
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# lora_fan_in_fan_out: |
|
|
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wandb_project: qwen2-72b |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
|
|
|
gradient_accumulation_steps: 8 |
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micro_batch_size: 1 |
|
num_epochs: 3 |
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optimizer: paged_adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 1e-5 |
|
|
|
train_on_inputs: false |
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group_by_length: false |
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bf16: auto |
|
fp16: |
|
tf32: false |
|
|
|
gradient_checkpointing: true |
|
early_stopping_patience: |
|
resume_from_checkpoint: |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
|
|
warmup_steps: 10 |
|
evals_per_epoch: 2 |
|
eval_table_size: |
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eval_max_new_tokens: 128 |
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saves_per_epoch: 4 |
|
save_total_limit: 2 |
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debug: |
|
deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16_cpuoffload_params.json |
|
weight_decay: 0.05 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
pad_token: "<|endoftext|>" |
|
eos_token: "<|im_end|>" |
|
|
|
``` |
|
|
|
|
