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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- merge |
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base_model: |
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- 01-ai/Yi-1.5-34B-Chat |
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- 01-ai/Yi-1.5-34B |
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pipeline_tag: text-generation |
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model-index: |
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- name: YiSM-34B-0rn |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 69.54 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 86.67 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 78.51 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 59.68 |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 83.66 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 75.82 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 42.84 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 45.38 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 20.62 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 16.22 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 14.76 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 41.06 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=altomek/YiSM-34B-0rn |
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name: Open LLM Leaderboard |
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--- |
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# |
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<img src=https://huggingface.co/altomek/YiSM-34B-0rn/resolve/main/YiSM.png> |
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<a href="https://www.youtube.com/watch?v=a9dNpk9G5h0" title="P.T. Adamczyk - Never Looking Back | Cyberpunk 2077: Phantom Liberty (Original Score)" target="_blank">intro music...</a> |
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## YiSM-34B-0rn |
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This is Yi Self Merged. I wanted model that will follow most instuctions yet preserve its base model nature. |
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### Ingridients |
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- [Yi-1.5-34B-Chat](https://huggingface.co/01-ai/Yi-1.5-34B-Chat) |
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- [Yi-1.5-34B](https://huggingface.co/01-ai/Yi-1.5-34B-Chat/) |
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### Settings |
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I use max_seq_len 8K with alpha_value 2.65. |
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SillyTavern presets: |
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```json |
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{ |
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"temp": 0.1, |
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"temperature_last": true, |
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"top_p": 1, |
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"top_k": 0, |
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"top_a": 0, |
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"tfs": 1, |
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"epsilon_cutoff": 0, |
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"eta_cutoff": 0, |
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"typical_p": 1, |
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"min_p": 0, |
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"rep_pen": 1.08, |
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"rep_pen_range": 0, |
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"no_repeat_ngram_size": 0, |
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"penalty_alpha": 0, |
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"num_beams": 1, |
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"length_penalty": 1, |
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"min_length": 0, |
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"encoder_rep_pen": 1, |
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"freq_pen": 0.01, |
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"presence_pen": 0, |
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"do_sample": true, |
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"early_stopping": false, |
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"add_bos_token": true, |
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"truncation_length": 2048, |
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"ban_eos_token": false, |
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"skip_special_tokens": true, |
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"streaming": true, |
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"mirostat_mode": 0, |
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"mirostat_tau": 5, |
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"mirostat_eta": 0.1, |
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"guidance_scale": 1, |
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"negative_prompt": "", |
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"grammar_string": "", |
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"banned_tokens": "", |
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"ignore_eos_token_aphrodite": false, |
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"spaces_between_special_tokens_aphrodite": true, |
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"sampler_order": [ |
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6, |
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0, |
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1, |
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3, |
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4, |
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2, |
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5 |
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], |
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"logit_bias": [], |
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"n": 1, |
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"rep_pen_size": 0, |
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"genamt": 2048, |
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"max_length": 8192 |
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} |
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``` |
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### Terms and Conditions of Use |
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The following table outlines the primary characteristics and intended uses of my YiSM-34B-0rn models: |
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| Model Type | Purpose | Target Users | Key Features | |
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| --- | --- | --- | --- | |
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| **Censored** | Suitable for general audiences and sensitive topics | Educational institutions, families, and individuals seeking age-appropriate content | Restricts explicit or mature material | |
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| **Neutral** (<u>**this one</u>) | Balances accessibility with openness | Universities, researchers, and curious minds | Encourages exploration and intellectual exchange | |
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| Uncensored | Ideal for adults and specialized fields | Professionals, experts, and advanced scholars | Offers unfiltered access to diverse viewpoints and knowledge | |
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Please remember that all YiSM-34B-0rn models operate under the apache-2.0 license, so familiarize yourself with its terms and conditions before employing their content. |
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### Quants |
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- [GGUF](https://huggingface.co/altomek/YiSM-34B-0rn-GGUF) |
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- [8bpw](https://huggingface.co/altomek/YiSM-34B-0rn-8bpw-EXL2) |
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- [6.5bpw](https://huggingface.co/altomek/YiSM-34B-0rn-6.5bpw-EXL2) |
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- [4.65bpw](https://huggingface.co/altomek/YiSM-34B-0rn-4.65bpw-EXL2) |
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- [4bpw](https://huggingface.co/altomek/YiSM-34B-0rn-4bpw-EXL2) |
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- [3.2bpw](https://huggingface.co/altomek/YiSM-34B-0rn-3.2bpw-EXL2) -> Fits in 16GB VRAM but not recomended. Performance is significantly degraded in lower quants. |
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- [measurements](https://huggingface.co/altomek/measurements/resolve/main/YiSM-34B-0rn_measurement.json) --> ExLlamav2 measurments |
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### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_altomek__YiSM-34B-0rn) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |75.65| |
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|AI2 Reasoning Challenge (25-Shot)|69.54| |
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|HellaSwag (10-Shot) |86.67| |
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|MMLU (5-Shot) |78.51| |
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|TruthfulQA (0-shot) |59.68| |
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|Winogrande (5-shot) |83.66| |
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|GSM8k (5-shot) |75.82| |
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5th in 34B size range excluding "Private or deleted" or 8th with all models included as of 2024-06-10 ;P |
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<img src=https://huggingface.co/altomek/YiSM-34B-0rn/resolve/main/5thIn34B.png> |
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### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_altomek__YiSM-34B-0rn) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |30.15| |
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|IFEval (0-Shot) |42.84| |
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|BBH (3-Shot) |45.38| |
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|MATH Lvl 5 (4-Shot)|20.62| |
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|GPQA (0-shot) |16.22| |
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|MuSR (0-shot) |14.76| |
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|MMLU-PRO (5-shot) |41.06| |
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