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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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# Dolphin 2.9 Mixtral 8x22b 🐬 |
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Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations |
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Discord: https://discord.gg/8fbBeC7ZGx |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" /> |
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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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This model is based on Dolphin-2.9-Mixtral-8x22b, and is Apache-2.0 licensed. |
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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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It took 1 week on 8xH100 provided by Crusoe Cloud |
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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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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 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. 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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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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## Evals |
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## Training |
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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: 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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load_in_8bit: false |
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load_in_4bit: false |
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strict: false |
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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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- model.layers.2.self_attn.q_proj |
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- model.layers.22.self_attn.q_proj |
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- model.layers.27.self_attn.q_proj |
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- model.layers.28.self_attn.q_proj |
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- model.layers.13.self_attn.q_proj |
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- model.layers.21.self_attn.q_proj |
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- model.layers.24.self_attn.q_proj |
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- model.layers.14.self_attn.q_proj |
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- model.layers.15.self_attn.q_proj |
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- model.layers.11.self_attn.q_proj |
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- model.layers.20.self_attn.q_proj |
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- model.layers.23.self_attn.q_proj |
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- model.layers.30.self_attn.k_proj |
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- model.layers.31.self_attn.k_proj |
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- model.layers.25.self_attn.k_proj |
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- model.layers.23.self_attn.k_proj |
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- model.layers.27.self_attn.k_proj |
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- model.layers.26.self_attn.k_proj |
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- model.layers.29.self_attn.k_proj |
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- model.layers.28.self_attn.k_proj |
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- model.layers.24.self_attn.k_proj |
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- model.layers.16.self_attn.k_proj |
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- model.layers.19.self_attn.k_proj |
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- model.layers.22.self_attn.k_proj |
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- model.layers.20.self_attn.k_proj |
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- model.layers.6.self_attn.k_proj |
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- model.layers.22.self_attn.v_proj |
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- model.layers.29.self_attn.v_proj |
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- model.layers.31.self_attn.v_proj |
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- model.layers.5.self_attn.v_proj |
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- model.layers.8.self_attn.v_proj |
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- model.layers.4.self_attn.v_proj |
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- model.layers.25.self_attn.v_proj |
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- model.layers.30.self_attn.v_proj |
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- model.layers.17.self_attn.v_proj |
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- model.layers.23.self_attn.v_proj |
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- model.layers.28.self_attn.v_proj |
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- model.layers.9.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.20.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.13.self_attn.o_proj |
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- model.layers.18.self_attn.o_proj |
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- model.layers.17.self_attn.o_proj |
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- model.layers.12.self_attn.o_proj |
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- model.layers.15.self_attn.o_proj |
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- model.layers.14.self_attn.o_proj |
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- model.layers.22.self_attn.o_proj |
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- model.layers.23.self_attn.o_proj |
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- model.layers.21.self_attn.o_proj |
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- model.layers.10.self_attn.o_proj |
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- model.layers.0.self_attn.o_proj |
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- model.layers.0.block_sparse_moe.experts.0.w1 |
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- model.layers.1.block_sparse_moe.experts.0.w1 |
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- model.layers.2.block_sparse_moe.experts.0.w1 |
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- model.layers.3.block_sparse_moe.experts.0.w1 |
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- model.layers.4.block_sparse_moe.experts.0.w1 |
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- model.layers.5.block_sparse_moe.experts.0.w1 |
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- model.layers.6.block_sparse_moe.experts.0.w1 |
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- model.layers.7.block_sparse_moe.experts.0.w1 |
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- model.layers.8.block_sparse_moe.experts.0.w1 |
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- model.layers.9.block_sparse_moe.experts.0.w1 |
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- model.layers.10.block_sparse_moe.experts.0.w1 |
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- model.layers.11.block_sparse_moe.experts.0.w1 |
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- model.layers.12.block_sparse_moe.experts.0.w1 |
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- model.layers.13.block_sparse_moe.experts.0.w1 |
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- model.layers.0.block_sparse_moe.experts.0.w2 |
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- model.layers.1.block_sparse_moe.experts.0.w2 |
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- model.layers.2.block_sparse_moe.experts.0.w2 |
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- model.layers.3.block_sparse_moe.experts.0.w2 |
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- model.layers.4.block_sparse_moe.experts.0.w2 |
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- model.layers.5.block_sparse_moe.experts.0.w2 |
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- model.layers.6.block_sparse_moe.experts.0.w2 |
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- model.layers.7.block_sparse_moe.experts.0.w2 |
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- model.layers.8.block_sparse_moe.experts.0.w2 |
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- model.layers.9.block_sparse_moe.experts.0.w2 |
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- model.layers.10.block_sparse_moe.experts.0.w2 |
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- model.layers.11.block_sparse_moe.experts.0.w2 |
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- model.layers.12.block_sparse_moe.experts.0.w2 |
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- model.layers.13.block_sparse_moe.experts.0.w2 |
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- model.layers.0.block_sparse_moe.experts.0.w3 |
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- model.layers.1.block_sparse_moe.experts.0.w3 |
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- model.layers.2.block_sparse_moe.experts.0.w3 |
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- model.layers.3.block_sparse_moe.experts.0.w3 |
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- model.layers.4.block_sparse_moe.experts.0.w3 |
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- model.layers.5.block_sparse_moe.experts.0.w3 |
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- model.layers.6.block_sparse_moe.experts.0.w3 |
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- model.layers.7.block_sparse_moe.experts.0.w3 |
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- model.layers.8.block_sparse_moe.experts.0.w3 |
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- model.layers.9.block_sparse_moe.experts.0.w3 |
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- model.layers.10.block_sparse_moe.experts.0.w3 |
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- model.layers.11.block_sparse_moe.experts.0.w3 |
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- model.layers.12.block_sparse_moe.experts.0.w3 |
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- model.layers.13.block_sparse_moe.experts.0.w3 |
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- model.layers.0.block_sparse_moe.experts.1.w1 |
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- model.layers.1.block_sparse_moe.experts.1.w1 |
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- model.layers.2.block_sparse_moe.experts.1.w1 |
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- model.layers.3.block_sparse_moe.experts.1.w1 |
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- model.layers.4.block_sparse_moe.experts.1.w1 |
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- model.layers.5.block_sparse_moe.experts.1.w1 |
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- model.layers.6.block_sparse_moe.experts.1.w1 |
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- model.layers.7.block_sparse_moe.experts.1.w1 |
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- model.layers.8.block_sparse_moe.experts.1.w1 |
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- model.layers.9.block_sparse_moe.experts.1.w1 |
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- model.layers.10.block_sparse_moe.experts.1.w1 |
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- model.layers.11.block_sparse_moe.experts.1.w1 |
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- model.layers.12.block_sparse_moe.experts.1.w1 |
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- model.layers.13.block_sparse_moe.experts.1.w1 |
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- model.layers.40.block_sparse_moe.experts.1.w2 |
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- model.layers.0.block_sparse_moe.experts.1.w2 |
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- model.layers.1.block_sparse_moe.experts.1.w2 |
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- model.layers.2.block_sparse_moe.experts.1.w2 |
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- model.layers.3.block_sparse_moe.experts.1.w2 |
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- model.layers.4.block_sparse_moe.experts.1.w2 |
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- model.layers.5.block_sparse_moe.experts.1.w2 |
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- model.layers.6.block_sparse_moe.experts.1.w2 |
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- model.layers.7.block_sparse_moe.experts.1.w2 |
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- model.layers.8.block_sparse_moe.experts.1.w2 |
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- model.layers.9.block_sparse_moe.experts.1.w2 |
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- model.layers.10.block_sparse_moe.experts.1.w2 |
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- model.layers.11.block_sparse_moe.experts.1.w2 |
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- model.layers.12.block_sparse_moe.experts.1.w2 |
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- model.layers.5.block_sparse_moe.experts.1.w3 |
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- model.layers.0.block_sparse_moe.experts.1.w3 |
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- model.layers.1.block_sparse_moe.experts.1.w3 |
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- model.layers.2.block_sparse_moe.experts.1.w3 |
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- model.layers.3.block_sparse_moe.experts.1.w3 |
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- model.layers.4.block_sparse_moe.experts.1.w3 |
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- model.layers.6.block_sparse_moe.experts.1.w3 |
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- model.layers.7.block_sparse_moe.experts.1.w3 |
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- model.layers.8.block_sparse_moe.experts.1.w3 |
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- model.layers.9.block_sparse_moe.experts.1.w3 |
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- model.layers.10.block_sparse_moe.experts.1.w3 |
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- model.layers.11.block_sparse_moe.experts.1.w3 |
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- model.layers.12.block_sparse_moe.experts.1.w3 |
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- model.layers.13.block_sparse_moe.experts.1.w3 |
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- model.layers.1.block_sparse_moe.experts.2.w1 |
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- model.layers.0.block_sparse_moe.experts.2.w1 |
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- model.layers.2.block_sparse_moe.experts.2.w1 |
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- model.layers.3.block_sparse_moe.experts.2.w1 |
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- model.layers.4.block_sparse_moe.experts.2.w1 |
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- model.layers.5.block_sparse_moe.experts.2.w1 |
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- model.layers.6.block_sparse_moe.experts.2.w1 |
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- model.layers.7.block_sparse_moe.experts.2.w1 |
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- model.layers.8.block_sparse_moe.experts.2.w1 |
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- model.layers.9.block_sparse_moe.experts.2.w1 |
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- model.layers.10.block_sparse_moe.experts.2.w1 |
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- model.layers.11.block_sparse_moe.experts.2.w1 |
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- model.layers.12.block_sparse_moe.experts.2.w1 |
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- model.layers.13.block_sparse_moe.experts.2.w1 |
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- model.layers.1.block_sparse_moe.experts.2.w2 |
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- model.layers.0.block_sparse_moe.experts.2.w2 |
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- model.layers.2.block_sparse_moe.experts.2.w2 |
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- model.layers.3.block_sparse_moe.experts.2.w2 |
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- model.layers.4.block_sparse_moe.experts.2.w2 |
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- model.layers.5.block_sparse_moe.experts.2.w2 |
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- model.layers.6.block_sparse_moe.experts.2.w2 |
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- model.layers.7.block_sparse_moe.experts.2.w2 |
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- model.layers.8.block_sparse_moe.experts.2.w2 |
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- model.layers.9.block_sparse_moe.experts.2.w2 |
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- model.layers.10.block_sparse_moe.experts.2.w2 |
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- model.layers.11.block_sparse_moe.experts.2.w2 |
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- model.layers.12.block_sparse_moe.experts.2.w2 |
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- model.layers.13.block_sparse_moe.experts.2.w2 |
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- model.layers.1.block_sparse_moe.experts.2.w3 |
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- model.layers.0.block_sparse_moe.experts.2.w3 |
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- model.layers.2.block_sparse_moe.experts.2.w3 |
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- model.layers.3.block_sparse_moe.experts.2.w3 |
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- model.layers.4.block_sparse_moe.experts.2.w3 |
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- model.layers.5.block_sparse_moe.experts.2.w3 |
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- model.layers.6.block_sparse_moe.experts.2.w3 |
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- model.layers.7.block_sparse_moe.experts.2.w3 |
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- model.layers.8.block_sparse_moe.experts.2.w3 |
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- model.layers.9.block_sparse_moe.experts.2.w3 |
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- model.layers.10.block_sparse_moe.experts.2.w3 |
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- model.layers.11.block_sparse_moe.experts.2.w3 |
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- model.layers.12.block_sparse_moe.experts.2.w3 |
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- model.layers.13.block_sparse_moe.experts.2.w3 |
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- model.layers.2.block_sparse_moe.experts.3.w1 |
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- model.layers.1.block_sparse_moe.experts.3.w1 |
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- model.layers.0.block_sparse_moe.experts.3.w1 |
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- model.layers.3.block_sparse_moe.experts.3.w1 |
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- model.layers.4.block_sparse_moe.experts.3.w1 |
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- model.layers.5.block_sparse_moe.experts.3.w1 |
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- model.layers.6.block_sparse_moe.experts.3.w1 |
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- model.layers.7.block_sparse_moe.experts.3.w1 |
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- model.layers.8.block_sparse_moe.experts.3.w1 |
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- model.layers.9.block_sparse_moe.experts.3.w1 |
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- model.layers.10.block_sparse_moe.experts.3.w1 |
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- model.layers.11.block_sparse_moe.experts.3.w1 |
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- model.layers.12.block_sparse_moe.experts.3.w1 |
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- model.layers.13.block_sparse_moe.experts.3.w1 |
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- model.layers.2.block_sparse_moe.experts.3.w2 |
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- model.layers.1.block_sparse_moe.experts.3.w2 |
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- model.layers.0.block_sparse_moe.experts.3.w2 |
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- model.layers.3.block_sparse_moe.experts.3.w2 |
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- model.layers.4.block_sparse_moe.experts.3.w2 |
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- model.layers.5.block_sparse_moe.experts.3.w2 |
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- model.layers.6.block_sparse_moe.experts.3.w2 |
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- model.layers.7.block_sparse_moe.experts.3.w2 |
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- model.layers.8.block_sparse_moe.experts.3.w2 |
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- model.layers.9.block_sparse_moe.experts.3.w2 |
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- model.layers.10.block_sparse_moe.experts.3.w2 |
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- model.layers.11.block_sparse_moe.experts.3.w2 |
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- model.layers.12.block_sparse_moe.experts.3.w2 |
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- model.layers.13.block_sparse_moe.experts.3.w2 |
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- model.layers.2.block_sparse_moe.experts.3.w3 |
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- model.layers.1.block_sparse_moe.experts.3.w3 |
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- model.layers.0.block_sparse_moe.experts.3.w3 |
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- model.layers.3.block_sparse_moe.experts.3.w3 |
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- model.layers.4.block_sparse_moe.experts.3.w3 |
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- model.layers.5.block_sparse_moe.experts.3.w3 |
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- model.layers.6.block_sparse_moe.experts.3.w3 |
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- model.layers.7.block_sparse_moe.experts.3.w3 |
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- model.layers.8.block_sparse_moe.experts.3.w3 |
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- model.layers.9.block_sparse_moe.experts.3.w3 |
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- model.layers.10.block_sparse_moe.experts.3.w3 |
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- model.layers.11.block_sparse_moe.experts.3.w3 |
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- model.layers.12.block_sparse_moe.experts.3.w3 |
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- model.layers.13.block_sparse_moe.experts.3.w3 |
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- model.layers.3.block_sparse_moe.experts.4.w1 |
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- model.layers.2.block_sparse_moe.experts.4.w1 |
|
- model.layers.1.block_sparse_moe.experts.4.w1 |
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- model.layers.0.block_sparse_moe.experts.4.w1 |
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- model.layers.4.block_sparse_moe.experts.4.w1 |
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- model.layers.5.block_sparse_moe.experts.4.w1 |
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- model.layers.6.block_sparse_moe.experts.4.w1 |
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- model.layers.7.block_sparse_moe.experts.4.w1 |
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- model.layers.8.block_sparse_moe.experts.4.w1 |
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- model.layers.9.block_sparse_moe.experts.4.w1 |
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- model.layers.10.block_sparse_moe.experts.4.w1 |
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- model.layers.11.block_sparse_moe.experts.4.w1 |
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- model.layers.12.block_sparse_moe.experts.4.w1 |
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- model.layers.13.block_sparse_moe.experts.4.w1 |
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- model.layers.2.block_sparse_moe.experts.4.w2 |
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- model.layers.3.block_sparse_moe.experts.4.w2 |
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- model.layers.1.block_sparse_moe.experts.4.w2 |
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- model.layers.20.block_sparse_moe.experts.4.w2 |
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- model.layers.0.block_sparse_moe.experts.4.w2 |
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- model.layers.4.block_sparse_moe.experts.4.w2 |
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- model.layers.5.block_sparse_moe.experts.4.w2 |
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- model.layers.6.block_sparse_moe.experts.4.w2 |
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- model.layers.7.block_sparse_moe.experts.4.w2 |
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- model.layers.8.block_sparse_moe.experts.4.w2 |
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- model.layers.9.block_sparse_moe.experts.4.w2 |
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- model.layers.10.block_sparse_moe.experts.4.w2 |
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- model.layers.11.block_sparse_moe.experts.4.w2 |
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- model.layers.12.block_sparse_moe.experts.4.w2 |
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- model.layers.3.block_sparse_moe.experts.4.w3 |
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- model.layers.2.block_sparse_moe.experts.4.w3 |
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- model.layers.1.block_sparse_moe.experts.4.w3 |
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- model.layers.0.block_sparse_moe.experts.4.w3 |
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- model.layers.4.block_sparse_moe.experts.4.w3 |
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- model.layers.5.block_sparse_moe.experts.4.w3 |
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- model.layers.6.block_sparse_moe.experts.4.w3 |
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- model.layers.7.block_sparse_moe.experts.4.w3 |
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- model.layers.8.block_sparse_moe.experts.4.w3 |
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- model.layers.9.block_sparse_moe.experts.4.w3 |
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- model.layers.10.block_sparse_moe.experts.4.w3 |
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- model.layers.11.block_sparse_moe.experts.4.w3 |
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- model.layers.12.block_sparse_moe.experts.4.w3 |
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- model.layers.13.block_sparse_moe.experts.4.w3 |
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- model.layers.4.block_sparse_moe.experts.5.w1 |
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- model.layers.3.block_sparse_moe.experts.5.w1 |
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- model.layers.2.block_sparse_moe.experts.5.w1 |
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- model.layers.1.block_sparse_moe.experts.5.w1 |
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- model.layers.0.block_sparse_moe.experts.5.w1 |
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- model.layers.5.block_sparse_moe.experts.5.w1 |
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- model.layers.6.block_sparse_moe.experts.5.w1 |
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- model.layers.7.block_sparse_moe.experts.5.w1 |
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- model.layers.8.block_sparse_moe.experts.5.w1 |
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- model.layers.9.block_sparse_moe.experts.5.w1 |
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- model.layers.10.block_sparse_moe.experts.5.w1 |
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- model.layers.11.block_sparse_moe.experts.5.w1 |
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- model.layers.12.block_sparse_moe.experts.5.w1 |
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- model.layers.13.block_sparse_moe.experts.5.w1 |
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- model.layers.4.block_sparse_moe.experts.5.w2 |
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- model.layers.2.block_sparse_moe.experts.5.w2 |
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- model.layers.3.block_sparse_moe.experts.5.w2 |
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- model.layers.1.block_sparse_moe.experts.5.w2 |
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- model.layers.0.block_sparse_moe.experts.5.w2 |
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- model.layers.5.block_sparse_moe.experts.5.w2 |
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- model.layers.6.block_sparse_moe.experts.5.w2 |
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- model.layers.7.block_sparse_moe.experts.5.w2 |
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- model.layers.8.block_sparse_moe.experts.5.w2 |
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- model.layers.9.block_sparse_moe.experts.5.w2 |
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- model.layers.10.block_sparse_moe.experts.5.w2 |
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- model.layers.11.block_sparse_moe.experts.5.w2 |
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- model.layers.12.block_sparse_moe.experts.5.w2 |
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- model.layers.13.block_sparse_moe.experts.5.w2 |
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- model.layers.4.block_sparse_moe.experts.5.w3 |
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- model.layers.3.block_sparse_moe.experts.5.w3 |
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- model.layers.2.block_sparse_moe.experts.5.w3 |
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- model.layers.1.block_sparse_moe.experts.5.w3 |
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- model.layers.0.block_sparse_moe.experts.5.w3 |
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- model.layers.5.block_sparse_moe.experts.5.w3 |
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- model.layers.6.block_sparse_moe.experts.5.w3 |
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- model.layers.7.block_sparse_moe.experts.5.w3 |
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- model.layers.8.block_sparse_moe.experts.5.w3 |
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- model.layers.9.block_sparse_moe.experts.5.w3 |
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- model.layers.10.block_sparse_moe.experts.5.w3 |
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- model.layers.11.block_sparse_moe.experts.5.w3 |
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- model.layers.12.block_sparse_moe.experts.5.w3 |
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- model.layers.13.block_sparse_moe.experts.5.w3 |
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- model.layers.5.block_sparse_moe.experts.6.w1 |
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- model.layers.4.block_sparse_moe.experts.6.w1 |
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- model.layers.3.block_sparse_moe.experts.6.w1 |
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- model.layers.2.block_sparse_moe.experts.6.w1 |
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- model.layers.1.block_sparse_moe.experts.6.w1 |
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- model.layers.0.block_sparse_moe.experts.6.w1 |
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- model.layers.6.block_sparse_moe.experts.6.w1 |
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- model.layers.7.block_sparse_moe.experts.6.w1 |
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- model.layers.8.block_sparse_moe.experts.6.w1 |
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- model.layers.9.block_sparse_moe.experts.6.w1 |
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- model.layers.10.block_sparse_moe.experts.6.w1 |
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- model.layers.11.block_sparse_moe.experts.6.w1 |
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- model.layers.12.block_sparse_moe.experts.6.w1 |
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- model.layers.13.block_sparse_moe.experts.6.w1 |
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- model.layers.5.block_sparse_moe.experts.6.w2 |
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- model.layers.4.block_sparse_moe.experts.6.w2 |
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- model.layers.2.block_sparse_moe.experts.6.w2 |
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- model.layers.3.block_sparse_moe.experts.6.w2 |
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- model.layers.1.block_sparse_moe.experts.6.w2 |
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- model.layers.0.block_sparse_moe.experts.6.w2 |
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- model.layers.6.block_sparse_moe.experts.6.w2 |
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- model.layers.7.block_sparse_moe.experts.6.w2 |
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- model.layers.8.block_sparse_moe.experts.6.w2 |
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- model.layers.9.block_sparse_moe.experts.6.w2 |
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- model.layers.10.block_sparse_moe.experts.6.w2 |
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- model.layers.11.block_sparse_moe.experts.6.w2 |
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- model.layers.12.block_sparse_moe.experts.6.w2 |
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- model.layers.13.block_sparse_moe.experts.6.w2 |
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- model.layers.5.block_sparse_moe.experts.6.w3 |
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- model.layers.4.block_sparse_moe.experts.6.w3 |
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- model.layers.3.block_sparse_moe.experts.6.w3 |
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- model.layers.2.block_sparse_moe.experts.6.w3 |
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- model.layers.1.block_sparse_moe.experts.6.w3 |
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- model.layers.0.block_sparse_moe.experts.6.w3 |
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- model.layers.6.block_sparse_moe.experts.6.w3 |
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- model.layers.7.block_sparse_moe.experts.6.w3 |
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- model.layers.8.block_sparse_moe.experts.6.w3 |
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- model.layers.9.block_sparse_moe.experts.6.w3 |
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- model.layers.10.block_sparse_moe.experts.6.w3 |
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- model.layers.11.block_sparse_moe.experts.6.w3 |
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- model.layers.12.block_sparse_moe.experts.6.w3 |
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- model.layers.13.block_sparse_moe.experts.6.w3 |
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- model.layers.5.block_sparse_moe.experts.7.w1 |
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- model.layers.6.block_sparse_moe.experts.7.w1 |
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- model.layers.3.block_sparse_moe.experts.7.w1 |
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- model.layers.4.block_sparse_moe.experts.7.w1 |
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- model.layers.2.block_sparse_moe.experts.7.w1 |
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- model.layers.0.block_sparse_moe.experts.7.w1 |
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- model.layers.7.block_sparse_moe.experts.7.w1 |
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- model.layers.8.block_sparse_moe.experts.7.w1 |
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- model.layers.9.block_sparse_moe.experts.7.w1 |
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- model.layers.10.block_sparse_moe.experts.7.w1 |
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- model.layers.11.block_sparse_moe.experts.7.w1 |
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- model.layers.12.block_sparse_moe.experts.7.w1 |
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- model.layers.13.block_sparse_moe.experts.7.w1 |
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- model.layers.14.block_sparse_moe.experts.7.w1 |
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- model.layers.6.block_sparse_moe.experts.7.w2 |
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- model.layers.5.block_sparse_moe.experts.7.w2 |
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- model.layers.4.block_sparse_moe.experts.7.w2 |
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- model.layers.2.block_sparse_moe.experts.7.w2 |
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- model.layers.3.block_sparse_moe.experts.7.w2 |
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- model.layers.1.block_sparse_moe.experts.7.w2 |
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- model.layers.0.block_sparse_moe.experts.7.w2 |
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- model.layers.7.block_sparse_moe.experts.7.w2 |
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- model.layers.8.block_sparse_moe.experts.7.w2 |
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- model.layers.9.block_sparse_moe.experts.7.w2 |
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- model.layers.10.block_sparse_moe.experts.7.w2 |
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- model.layers.11.block_sparse_moe.experts.7.w2 |
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- model.layers.12.block_sparse_moe.experts.7.w2 |
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- model.layers.13.block_sparse_moe.experts.7.w2 |
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- model.layers.6.block_sparse_moe.experts.7.w3 |
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- model.layers.5.block_sparse_moe.experts.7.w3 |
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- model.layers.4.block_sparse_moe.experts.7.w3 |
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- model.layers.3.block_sparse_moe.experts.7.w3 |
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- model.layers.2.block_sparse_moe.experts.7.w3 |
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- model.layers.0.block_sparse_moe.experts.7.w3 |
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- model.layers.7.block_sparse_moe.experts.7.w3 |
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- model.layers.8.block_sparse_moe.experts.7.w3 |
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- model.layers.9.block_sparse_moe.experts.7.w3 |
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- model.layers.10.block_sparse_moe.experts.7.w3 |
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- model.layers.11.block_sparse_moe.experts.7.w3 |
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- model.layers.12.block_sparse_moe.experts.7.w3 |
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- model.layers.13.block_sparse_moe.experts.7.w3 |
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- model.layers.14.block_sparse_moe.experts.7.w3 |
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- model.layers.0.block_sparse_moe.gate |
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- model.layers.1.block_sparse_moe.gate |
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- model.layers.2.block_sparse_moe.gate |
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- model.layers.3.block_sparse_moe.gate |
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- model.layers.4.block_sparse_moe.gate |
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- model.layers.5.block_sparse_moe.gate |
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- model.layers.6.block_sparse_moe.gate |
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- model.layers.7.block_sparse_moe.gate |
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- model.layers.8.block_sparse_moe.gate |
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- model.layers.9.block_sparse_moe.gate |
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- model.layers.10.block_sparse_moe.gate |
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- model.layers.11.block_sparse_moe.gate |
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- model.layers.12.block_sparse_moe.gate |
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- model.layers.13.block_sparse_moe.gate |
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|
|
model_config: |
|
output_router_logits: true |
|
|
|
datasets: |
|
- path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/Ultrachat200kunfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
- path: /workspace/datasets/dolphin-2.9/SystemConversations.jsonl |
|
type: sharegpt |
|
conversation: chatml |
|
|
|
chat_template: chatml |
|
|
|
dataset_prepared_path: thingy |
|
val_set_size: 0.0002 |
|
output_dir: ./out |
|
|
|
sequence_len: 4096 |
|
sample_packing: true |
|
pad_to_sequence_len: true |
|
|
|
gradient_accumulation_steps: 8 |
|
micro_batch_size: 4 |
|
num_epochs: 3 |
|
logging_steps: 1 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
learning_rate: 2.7e-5 |
|
|
|
wandb_project: dolphin-2.9-mixtral-8x22b |
|
wandb_watch: |
|
wandb_run_id: |
|
wandb_log_model: |
|
|
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
fp16: |
|
tf32: true |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: false |
|
early_stopping_patience: |
|
# resume_from_checkpoint: /home/ehartford/axolotl/out/checkpoint-316 |
|
local_rank: |
|
logging_steps: 1 |
|
xformers_attention: |
|
flash_attention: true |
|
saves_per_epoch: 8 |
|
save_total_limit: 2 |
|
save_steps: |
|
evals_per_epoch: 4 |
|
eval_sample_packing: false |
|
debug: |
|
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json |
|
weight_decay: 0.05 |
|
fsdp: |
|
fsdp_config: |
|
special_tokens: |
|
eos_token: "<|im_end|>" |
|
tokens: |
|
- "<|im_start|>" |
|
``` |
|
|
|
</details><br> |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.7022 | 0.0 | 1 | 0.6989 | |
|
| 0.5344 | 0.25 | 238 | 0.5138 | |
|
| 0.5204 | 0.5 | 476 | 0.5018 | |
|
| 0.5059 | 0.75 | 714 | 0.4951 | |
|
| 0.5112 | 1.0 | 952 | 0.4911 | |
|
| 0.4561 | 1.24 | 1190 | 0.4978 | |
|
| 0.478 | 1.49 | 1428 | 0.4935 | |
|
| 0.4714 | 1.74 | 1666 | 0.4899 | |
|
| 0.4626 | 1.99 | 1904 | 0.4861 | |
|
| 0.3675 | 2.22 | 2142 | 0.5240 | |
|
| 0.3595 | 2.47 | 2380 | 0.5229 | |
|
| 0.3438 | 2.72 | 2618 | 0.5217 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.0.dev0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
