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--- |
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license: cc-by-nc-4.0 |
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base_model: |
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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- Q-bert/MetaMath-Cybertron-Starling |
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language: |
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- en |
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--- |
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**Update 12/27/2023**: We have released an updated version of this model with similar performance and a more permissive license at https://huggingface.co/OpenPipe/mistral-ft-optimized-1227. We recommend that model over this one for most users. |
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--- |
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This model is intended to be a strong base suitable for downstream fine-tuning on a variety of tasks. Based on our internal evaluations, we believe it's one of the strongest models for most down-stream tasks. You can read more about our development and evaluation process [here](https://openpipe.ai/blog/mistral-7b-fine-tune-optimized). |
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--- |
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[Mergekit](https://github.com/cg123/mergekit) config used to create this model: |
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```yaml |
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slices: |
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- sources: |
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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layer_range: [0, 32] |
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- model: Q-bert/MetaMath-Cybertron-Starling |
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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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--- |
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*Note*: It appears that https://huggingface.co/Weyaxi/Seraph-7B was merged from the same base models using the same [mergekit](https://github.com/cg123/mergekit) defaults as this model. So major credit goes to @Weyaxi both for creating one of the base merges this model was merged from, as well as being the first one to perform this exact merge as well! |
