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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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base_model: |
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- teknium/OpenHermes-2.5-Mistral-7B |
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- Intel/neural-chat-7b-v3-3 |
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model-index: |
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- name: 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: 68.09 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 68.09 |
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name: normalized accuracy |
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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: 86.2 |
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name: normalized accuracy |
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- type: acc_norm |
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value: 86.2 |
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name: normalized accuracy |
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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: 64.26 |
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name: accuracy |
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- type: acc |
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value: 64.26 |
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name: accuracy |
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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: 62.78 |
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- type: mc2 |
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value: 62.78 |
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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: 79.16 |
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name: accuracy |
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- type: acc |
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value: 79.16 |
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name: accuracy |
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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: 67.78 |
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name: accuracy |
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- type: acc |
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value: 67.78 |
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name: accuracy |
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--- |
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# OpenHermes-2.5-neural-chat-v3-3-Slerp |
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This is the model for OpenHermes-2.5-neural-chat-v3-3-Slerp. I used [mergekit](https://github.com/cg123/mergekit) to merge models. |
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# Prompt Templates |
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You can use these prompt templates, but I recommend using ChatML. |
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### ChatML [(OpenHermes-2.5-Mistral-7B)](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B): |
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``` |
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<|im_start|>system |
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{system}<|im_end|> |
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<|im_start|>user |
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{user}<|im_end|> |
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<|im_start|>assistant |
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{asistant}<|im_end|> |
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``` |
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### [neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3): |
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``` |
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### System: |
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{system} |
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### User: |
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{user} |
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### Assistant: |
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``` |
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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: teknium/OpenHermes-2.5-Mistral-7B |
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layer_range: [0, 32] |
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- model: Intel/neural-chat-7b-v3-3 |
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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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# Quantizationed versions |
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Quantizationed versions of this model is available thanks to [TheBloke](https://hf.co/TheBloke). |
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##### GPTQ |
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- [TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GPTQ) |
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##### GGUF |
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- [TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GGUF](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-GGUF) |
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##### AWQ |
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- [TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-AWQ](https://huggingface.co/TheBloke/OpenHermes-2.5-neural-chat-v3-3-Slerp-AWQ) |
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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_PulsarAI__OpenHermes-2.5-neural-chat-v3-3-Slerp) |
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| Metric | Value | |
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|-----------------------|---------------------------| |
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| Avg. | 71.38 | |
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| ARC (25-shot) | 68.09 | |
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| HellaSwag (10-shot) | 86.2 | |
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| MMLU (5-shot) | 64.26 | |
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| TruthfulQA (0-shot) | 62.78 | |
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| Winogrande (5-shot) | 79.16 | |
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| GSM8K (5-shot) | 67.78 | |
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If you would like to support me: |
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[☕ Buy Me a Coffee](https://www.buymeacoffee.com/weyaxi) |
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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_PulsarAI__OpenHermes-2.5-neural-chat-v3-3-Slerp) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.38| |
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|AI2 Reasoning Challenge (25-Shot)|68.09| |
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|HellaSwag (10-Shot) |86.20| |
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|MMLU (5-Shot) |64.26| |
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|TruthfulQA (0-shot) |62.78| |
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|Winogrande (5-shot) |79.16| |
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|GSM8k (5-shot) |67.78| |
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