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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- merge |
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base_model: |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- ehartford/dolphin-2.2.1-mistral-7b |
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- SciPhi/SciPhi-Mistral-7B-32k |
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- ehartford/samantha-1.2-mistral-7b |
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- Arc53/docsgpt-7b-mistral |
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- berkeley-nest/Starling-LM-7B-alpha |
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- Q-bert/MetaMath-Cybertron-Starling |
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- Open-Orca/Mistral-7B-OpenOrca |
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- v1olet/v1olet_marcoroni-go-bruins-merge-7B |
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- beowolx/MistralHermes-CodePro-7B-v1 |
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- TIGER-Lab/MAmmoTH-7B-Mistral |
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- teknium/OpenHermes-2.5-Mistral-7B |
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- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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- mlabonne/NeuralHermes-2.5-Mistral-7B |
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--- |
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# Update 2023-12-19 |
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In light of [dataset contamination issue among the merged models](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474) |
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raised by the community in recent days, in particular |
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[berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha), and |
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[Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling), |
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we decided to remake another model without the models mentioned. |
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Additionally, their CC-by-NC-4.0 license is restrictive and thus are not suitable for an open model. |
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# Model Description |
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This is an experiment to test merging 14 models using DARE TIES 🦙 |
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The result is a base model that performs quite well but requires some further instruction fine-tuning. |
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The 14 models are as follows: |
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1. [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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2. [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b) |
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3. [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k) |
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4. [ehartford/samantha-1.2-mistral-7b](https://huggingface.co/ehartford/samantha-1.2-mistral-7b) |
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5. [Arc53/docsgpt-7b-mistral](https://huggingface.co/Arc53/docsgpt-7b-mistral) |
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6. [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) |
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7. [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling) |
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8. [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) |
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9. [v1olet/v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B) |
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10. [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1) |
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11. [TIGER-Lab/MAmmoTH-7B-Mistral](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral) |
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12. [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) |
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13. [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) |
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14. [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) |
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- base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) |
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The yaml config file for this model is here: |
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```yaml |
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models: |
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- model: mistralai/Mistral-7B-v0.1 |
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# no parameters necessary for base model |
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- model: ehartford/dolphin-2.2.1-mistral-7b |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: SciPhi/SciPhi-Mistral-7B-32k |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: ehartford/samantha-1.2-mistral-7b |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: Arc53/docsgpt-7b-mistral |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: berkeley-nest/Starling-LM-7B-alpha |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: Q-bert/MetaMath-Cybertron-Starling |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: Open-Orca/Mistral-7B-OpenOrca |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: v1olet/v1olet_marcoroni-go-bruins-merge-7B |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: beowolx/MistralHermes-CodePro-7B-v1 |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: TIGER-Lab/MAmmoTH-7B-Mistral |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: teknium/OpenHermes-2.5-Mistral-7B |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: mlabonne/NeuralHermes-2.5-Mistral-7B |
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parameters: |
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weight: 0.08 |
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density: 0.4 |
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- model: mistralai/Mistral-7B-Instruct-v0.2 |
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parameters: |
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weight: 0.08 |
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density: 0.5 |
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merge_method: dare_ties |
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base_model: mistralai/Mistral-7B-v0.1 |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
