58 lines
1.5 KiB
Markdown
58 lines
1.5 KiB
Markdown
---
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license: apache-2.0
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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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- teknium/OpenHermes-2.5-Mistral-7B
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- Intel/neural-chat-7b-v3-3
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---
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# Model Description
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This is an experiment to compare merging 2 models using DARE TIES versus SLERP 🦙
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We are mainly interested to compare against [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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The 2 models involved in the merge as follows:
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1. [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
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2. [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3)
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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 the merge is:
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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: teknium/OpenHermes-2.5-Mistral-7B
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parameters:
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weight: 0.5
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density: 0.5
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- model: Intel/neural-chat-7b-v3-3
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parameters:
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weight: 0.5
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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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```
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# Open LLM Leaderboard
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Note that with more tuning DARE TIES might achieve better results.
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| | DARE TIES | SLERP |
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|------------|-----------|-------|
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| Average | 70.69 | 71.38 |
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| ARC | 67.49 | 68.09 |
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| HellaSwag | 85.78 | 86.2 |
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| MMLU | 64.1 | 64.26 |
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| TruthfulQA | 60.52 | 62.78 |
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| Winogrande | 79.01 | 79.16 |
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| GSM8K | 67.25 | 67.78 |
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