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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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model-index: |
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- name: MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 64.59 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 64.59 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 64.59 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 85.39 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 85.39 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 85.37 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 64.27 |
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name: accuracy |
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- type: acc |
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value: 64.27 |
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name: accuracy |
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- type: acc |
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value: 64.29 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 55.14 |
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- type: mc2 |
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value: 55.14 |
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- type: mc2 |
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value: 55.14 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 79.64 |
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name: accuracy |
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- type: acc |
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value: 79.64 |
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name: accuracy |
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- type: acc |
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value: 79.08 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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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: 71.65 |
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name: accuracy |
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- type: acc |
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value: 71.65 |
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name: accuracy |
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- type: acc |
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value: 71.04 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=PulsarAI/MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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name: Open LLM Leaderboard |
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--- |
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# MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp |
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This is the model for MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp. I used [mergekit](https://github.com/cg123/mergekit) to merge models. |
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# Yaml Config to reproduce |
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```yaml |
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slices: |
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- sources: |
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- model: meta-math/MetaMath-Mistral-7B |
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layer_range: [0, 32] |
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- model: PulsarAI/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 # fallback for rest of tensors |
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dtype: bfloat16 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-OpenHermes-2.5-neural-chat-v3-3-Slerp) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |69.92| |
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|AI2 Reasoning Challenge (25-Shot)|64.59| |
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|HellaSwag (10-Shot) |85.37| |
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|MMLU (5-Shot) |64.29| |
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|TruthfulQA (0-shot) |55.14| |
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|Winogrande (5-shot) |79.08| |
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|GSM8k (5-shot) |71.04| |
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