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---
license: cc-by-nc-4.0
language:
- en
tags:
- merge
base_model:
- EmbeddedLLM/Mistral-7B-Merge-14-v0.3
- Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
- openchat/openchat-3.5-0106
- mlabonne/NeuralMarcoro14-7B
---
# Update 2024-01-21
Due to [mlabonne/NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B) updating its license to CC-BY-NC, our license will follow suit.
# Model Description
This is an experiment to test merging 14 models using DARE TIES 🦙
1. We first merge 14 models to produce [EmbeddedLLM/Mistral-7B-Merge-14-v0.3](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.3).
2. The model is merged again using DARE TIES with:
- [Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp)
- [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
- [mlabonne/NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B)
## Open LLM Leaderboard
| Average | 71.96 |
|------------|-------|
| ARC | 68.69 |
| HellaSwag | 86.45 |
| MMLU | 65.65 |
| TruthfulQA | 59.12 |
| Winogrande | 80.66 |
| GSM8K | 71.19 |
## Chat Template
Either ChatML or Llama-2 chat template.
## Merge Configuration
The merge config file for this model is here:
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
parameters:
weight: 0.3
density: 0.5
- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-openchat-3.5-1210-Slerp
parameters:
weight: 0.2
density: 0.5
- model: openchat/openchat-3.5-0106
parameters:
weight: 0.2
density: 0.5
- model: mlabonne/NeuralMarcoro14-7B
parameters:
weight: 0.3
density: 0.5
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
tokenizer_source: union
dtype: bfloat16
``` |