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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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language:
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- en
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---
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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: /media/data5/hf_models/Mistral-7B-v0.1
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# no parameters necessary for base model
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- model: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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: /media/data5/hf_models/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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```
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