--- license: other tags: - generated_from_trainer - axolotl base_model: Qwen/Qwen2-72B datasets: - cognitivecomputations/Dolphin-2.9 - teknium/OpenHermes-2.5 - m-a-p/CodeFeedback-Filtered-Instruction - cognitivecomputations/dolphin-coder - cognitivecomputations/samantha-data - microsoft/orca-math-word-problems-200k - Locutusque/function-calling-chatml - internlm/Agent-FLAN license_name: tongyi-qianwen license_link: https://huggingface.co/Qwen/Qwen1.5-110B/blob/main/LICENSE model-index: - name: dolphin-2.9.2-qwen2-72b results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 40.38 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 47.7 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 21.37 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 16.0 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 17.04 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 49.52 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cognitivecomputations/dolphin-2.9.2-qwen2-72b name: Open LLM Leaderboard --- # Dolphin 2.9.2 Qwen2 72B 🐬 Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations [![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations) Discord: https://discord.gg/cognitivecomputations Our appreciation for the sponsors of Dolphin 2.9.2: - [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node This model is based on Qwen2-72b, and is governed by [tongyi-qianwen license](LICENSE) The base model has 128k context, and the full-weight fine-tuning was with 8k sequence length. 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. example: ``` <|im_start|>system You are Dolphin, a helpful AI assistant.<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` Dolphin-2.9.2 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling. 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. 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. ## Evals ![image/png](https://i.ibb.co/B4x1Ddr/file-2ao0fl-K2-B2-Hmka-Epd0ja-QY0x.webp) [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)
See axolotl config axolotl version: `0.4.0` ```yaml base_model: Qwen/Qwen2-72B model_type: AutoModelForCausalLM tokenizer_type: AutoTokenizer trust_remote_code: true # load_in_8bit: true # load_in_4bit: false # strict: false datasets: - path: /workspace/datasets/dolphin-2.9.2/dolphin201-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-codegen-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/dolphin-coder-translate-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/not_samantha_norefusals.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/openhermes200k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/Orca-Math-resort-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/SystemChat_sharegpt.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_instruct_j1s1_3k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_negative_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_react_10p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/toolbench_tflan_cot_30p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.2/agent_instruct_react_unfiltered.jsonl type: sharegpt conversation: chatml unfrozen_parameters: - ^lm_head.weight$ - ^model.embed_tokens.weight$ # mlp.down_proj layers - model.layers.62.mlp.down_proj - model.layers.63.mlp.down_proj - model.layers.66.mlp.down_proj - model.layers.65.mlp.down_proj - model.layers.64.mlp.down_proj - model.layers.67.mlp.down_proj - model.layers.68.mlp.down_proj - model.layers.60.mlp.down_proj - model.layers.31.mlp.down_proj - model.layers.69.mlp.down_proj - model.layers.61.mlp.down_proj - model.layers.59.mlp.down_proj - model.layers.70.mlp.down_proj - model.layers.30.mlp.down_proj - model.layers.76.mlp.down_proj - model.layers.72.mlp.down_proj - model.layers.77.mlp.down_proj - model.layers.71.mlp.down_proj - model.layers.29.mlp.down_proj - model.layers.58.mlp.down_proj - model.layers.75.mlp.down_proj - model.layers.32.mlp.down_proj - model.layers.56.mlp.down_proj - model.layers.28.mlp.down_proj - model.layers.26.mlp.down_proj - model.layers.33.mlp.down_proj - model.layers.34.mlp.down_proj - model.layers.57.mlp.down_proj - model.layers.27.mlp.down_proj - model.layers.25.mlp.down_proj - model.layers.35.mlp.down_proj - model.layers.73.mlp.down_proj - model.layers.24.mlp.down_proj - model.layers.78.mlp.down_proj - model.layers.74.mlp.down_proj - model.layers.54.mlp.down_proj # mlp.gate_proj layers - model.layers.78.mlp.gate_proj - model.layers.77.mlp.gate_proj - model.layers.76.mlp.gate_proj - model.layers.79.mlp.gate_proj - model.layers.75.mlp.gate_proj - model.layers.74.mlp.gate_proj - model.layers.73.mlp.gate_proj - model.layers.70.mlp.gate_proj - model.layers.72.mlp.gate_proj - model.layers.71.mlp.gate_proj - model.layers.69.mlp.gate_proj - model.layers.54.mlp.gate_proj - model.layers.68.mlp.gate_proj - model.layers.57.mlp.gate_proj - model.layers.63.mlp.gate_proj - model.layers.49.mlp.gate_proj - model.layers.55.mlp.gate_proj - model.layers.53.mlp.gate_proj - model.layers.44.mlp.gate_proj - model.layers.46.mlp.gate_proj - model.layers.67.mlp.gate_proj - model.layers.58.mlp.gate_proj - model.layers.56.mlp.gate_proj - model.layers.45.mlp.gate_proj - model.layers.50.mlp.gate_proj - model.layers.62.mlp.gate_proj - model.layers.64.mlp.gate_proj - model.layers.48.mlp.gate_proj - model.layers.66.mlp.gate_proj - model.layers.52.mlp.gate_proj - model.layers.40.mlp.gate_proj - model.layers.47.mlp.gate_proj - model.layers.43.mlp.gate_proj - model.layers.65.mlp.gate_proj - model.layers.61.mlp.gate_proj - model.layers.59.mlp.gate_proj # mlp.up_proj layers - model.layers.69.mlp.up_proj - model.layers.70.mlp.up_proj - model.layers.71.mlp.up_proj - model.layers.68.mlp.up_proj - model.layers.67.mlp.up_proj - model.layers.66.mlp.up_proj - model.layers.46.mlp.up_proj - model.layers.63.mlp.up_proj - model.layers.72.mlp.up_proj - model.layers.64.mlp.up_proj - model.layers.62.mlp.up_proj - model.layers.45.mlp.up_proj - model.layers.65.mlp.up_proj - model.layers.73.mlp.up_proj - model.layers.47.mlp.up_proj - model.layers.44.mlp.up_proj - model.layers.49.mlp.up_proj - model.layers.48.mlp.up_proj - model.layers.53.mlp.up_proj - model.layers.74.mlp.up_proj - model.layers.75.mlp.up_proj - model.layers.57.mlp.up_proj - model.layers.76.mlp.up_proj - model.layers.43.mlp.up_proj - model.layers.42.mlp.up_proj - model.layers.61.mlp.up_proj - model.layers.40.mlp.up_proj - model.layers.56.mlp.up_proj - model.layers.60.mlp.up_proj - model.layers.31.mlp.up_proj - model.layers.54.mlp.up_proj - model.layers.55.mlp.up_proj - model.layers.32.mlp.up_proj - model.layers.41.mlp.up_proj - model.layers.33.mlp.up_proj - model.layers.58.mlp.up_proj # self_attn.k_proj layers - model.layers.79.self_attn.k_proj - model.layers.36.self_attn.k_proj - model.layers.35.self_attn.k_proj - model.layers.74.self_attn.k_proj - model.layers.34.self_attn.k_proj - model.layers.78.self_attn.k_proj - model.layers.77.self_attn.k_proj - model.layers.37.self_attn.k_proj - model.layers.39.self_attn.k_proj - model.layers.41.self_attn.k_proj - model.layers.38.self_attn.k_proj - model.layers.33.self_attn.k_proj - model.layers.69.self_attn.k_proj - model.layers.42.self_attn.k_proj - model.layers.32.self_attn.k_proj - model.layers.25.self_attn.k_proj - model.layers.70.self_attn.k_proj - model.layers.22.self_attn.k_proj - model.layers.63.self_attn.k_proj - model.layers.29.self_attn.k_proj - model.layers.68.self_attn.k_proj - model.layers.24.self_attn.k_proj - model.layers.30.self_attn.k_proj - model.layers.66.self_attn.k_proj - model.layers.31.self_attn.k_proj - model.layers.23.self_attn.k_proj - model.layers.65.self_attn.k_proj - model.layers.57.self_attn.k_proj - model.layers.28.self_attn.k_proj - model.layers.64.self_attn.k_proj - model.layers.44.self_attn.k_proj - model.layers.27.self_attn.k_proj - model.layers.75.self_attn.k_proj - model.layers.40.self_attn.k_proj - model.layers.26.self_attn.k_proj - model.layers.61.self_attn.k_proj # self_attn.o_proj layers - model.layers.14.self_attn.o_proj - model.layers.39.self_attn.o_proj - model.layers.19.self_attn.o_proj - model.layers.16.self_attn.o_proj - model.layers.17.self_attn.o_proj - model.layers.15.self_attn.o_proj - model.layers.69.self_attn.o_proj - model.layers.12.self_attn.o_proj - model.layers.42.self_attn.o_proj - model.layers.23.self_attn.o_proj - model.layers.22.self_attn.o_proj - model.layers.29.self_attn.o_proj - model.layers.13.self_attn.o_proj - model.layers.46.self_attn.o_proj - model.layers.52.self_attn.o_proj - model.layers.26.self_attn.o_proj - model.layers.38.self_attn.o_proj - model.layers.41.self_attn.o_proj - model.layers.18.self_attn.o_proj - model.layers.49.self_attn.o_proj - model.layers.11.self_attn.o_proj - model.layers.28.self_attn.o_proj - model.layers.25.self_attn.o_proj - model.layers.47.self_attn.o_proj - model.layers.53.self_attn.o_proj - model.layers.27.self_attn.o_proj - model.layers.37.self_attn.o_proj - model.layers.20.self_attn.o_proj - model.layers.43.self_attn.o_proj - model.layers.44.self_attn.o_proj - 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 - model.layers.10.self_attn.o_proj - model.layers.3.self_attn.o_proj # self_attn.q_proj layers - model.layers.1.self_attn.q_proj - model.layers.2.self_attn.q_proj - 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 - model.layers.19.self_attn.q_proj - model.layers.18.self_attn.q_proj - model.layers.25.self_attn.q_proj - model.layers.11.self_attn.q_proj - model.layers.15.self_attn.q_proj - model.layers.61.self_attn.q_proj - model.layers.17.self_attn.q_proj - model.layers.55.self_attn.q_proj - model.layers.54.self_attn.q_proj - model.layers.16.self_attn.q_proj - model.layers.68.self_attn.q_proj - model.layers.49.self_attn.q_proj - model.layers.48.self_attn.q_proj - model.layers.52.self_attn.q_proj - model.layers.13.self_attn.q_proj - model.layers.42.self_attn.q_proj - model.layers.57.self_attn.q_proj - model.layers.60.self_attn.q_proj - model.layers.53.self_attn.q_proj - model.layers.64.self_attn.q_proj - model.layers.66.self_attn.q_proj - model.layers.62.self_attn.q_proj - model.layers.59.self_attn.q_proj - model.layers.50.self_attn.q_proj # self_attn.v_proj layers - model.layers.15.self_attn.v_proj - model.layers.16.self_attn.v_proj - model.layers.23.self_attn.v_proj - model.layers.24.self_attn.v_proj - model.layers.25.self_attn.v_proj - model.layers.26.self_attn.v_proj - model.layers.27.self_attn.v_proj - model.layers.28.self_attn.v_proj - 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 - 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 - model.layers.41.self_attn.v_proj - model.layers.42.self_attn.v_proj - model.layers.48.self_attn.v_proj - 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 - model.layers.72.self_attn.v_proj chat_template: chatml dataset_prepared_path: qwen2-72b-data val_set_size: 0.01 output_dir: qwen2-72b sequence_len: 8192 # supports up to 8192 sample_packing: true pad_to_sequence_len: true # adapter: lora # lora_model_dir: # lora_r: 32 # lora_alpha: 16 # lora_dropout: 0.05 # lora_target_linear: true # lora_fan_in_fan_out: wandb_project: qwen2-72b wandb_entity: wandb_watch: wandb_name: wandb_log_model: gradient_accumulation_steps: 8 micro_batch_size: 1 num_epochs: 3 optimizer: paged_adamw_8bit lr_scheduler: cosine learning_rate: 1e-5 train_on_inputs: false group_by_length: false 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: eval_max_new_tokens: 128 saves_per_epoch: 4 save_total_limit: 2 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|>" ``` # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__dolphin-2.9.2-qwen2-72b) | Metric |Value| |-------------------|----:| |Avg. |32.00| |IFEval (0-Shot) |40.38| |BBH (3-Shot) |47.70| |MATH Lvl 5 (4-Shot)|21.37| |GPQA (0-shot) |16.00| |MuSR (0-shot) |17.04| |MMLU-PRO (5-shot) |49.52|