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---
license: apache-2.0
language:
- en
---
# Model Description
This is an experiment to test merging 14 models using DARE TIES 🦙
The result is a base model that performs quite well but requires some further instruction fine-tuning.
The 14 models are as follows:
1. [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
2. [ehartford/dolphin-2.2.1-mistral-7b](https://huggingface.co/ehartford/dolphin-2.2.1-mistral-7b)
3. [SciPhi/SciPhi-Mistral-7B-32k](https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k)
4. [ehartford/samantha-1.2-mistral-7b](https://huggingface.co/ehartford/samantha-1.2-mistral-7b)
5. [Arc53/docsgpt-7b-mistral](https://huggingface.co/Arc53/docsgpt-7b-mistral)
6. [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
7. [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling)
8. [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
9. [v1olet/v1olet_marcoroni-go-bruins-merge-7B](https://huggingface.co/v1olet/v1olet_marcoroni-go-bruins-merge-7B)
10. [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
11. [TIGER-Lab/MAmmoTH-7B-Mistral](https://huggingface.co/TIGER-Lab/MAmmoTH-7B-Mistral)
12. [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
13. [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp)
14. [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
- base model: [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
The yaml config file for this model is here:
```yaml
models:
- model: /media/data5/hf_models/Mistral-7B-v0.1
# no parameters necessary for base model
- model: /media/data5/hf_models/dolphin-2.2.1-mistral-7b
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/SciPhi-Mistral-7B-32k
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/samantha-1.2-mistral-7b
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/docsgpt-7b-mistral
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/Starling-LM-7B-alpha
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/MetaMath-Cybertron-Starling
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/Mistral-7B-OpenOrca
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/v1olet_marcoroni-go-bruins-merge-7B
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/MistralHermes-CodePro-7B-v1
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/MAmmoTH-7B-Mistral
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/OpenHermes-2.5-Mistral-7B
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/OpenHermes-2.5-neural-chat-v3-3-Slerp
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/NeuralHermes-2.5-Mistral-7B
parameters:
weight: 0.08
density: 0.4
- model: /media/data5/hf_models/Mistral-7B-Instruct-v0.2
parameters:
weight: 0.08
density: 0.5
merge_method: dare_ties
base_model: /media/data5/hf_models/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
```
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