Jan
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README.md
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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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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/janhq/jan/assets/89722390/35daac7d-b895-487c-a6ac-6663daaad78e" alt="Jan banner" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<p align="center">
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<a href="https://jan.ai/">Jan</a>
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- <a href="https://discord.gg/AsJ8krTT3N">Discord</a>
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</p>
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<!-- header end -->
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# Model Description
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This model uses the `DARE_TIES` merge method.
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**NOTE:** Due to the mismatch of architecture between Llama and Mistral, Magicoder-S-CL-7B layers will be skipped
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```yaml
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base_model: mistralai/Mistral-7B-v0.1
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dtype: bfloat16
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merge_method: dare_ties
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models:
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- model: mistralai/Mistral-7B-v0.1
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- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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parameters:
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density: 0.8
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weight: 0.3
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- model: Q-bert/MetaMath-Cybertron-Starling
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parameters:
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density: 0.8
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weight: 0.3
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- model: ise-uiuc/Magicoder-S-CL-7B
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parameters:
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density: 0.6
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weight: 0.2
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- model: AIDC-ai-business/Marcoroni-7B-v3
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parameters:
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density: 0.6
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weight: 0.2
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parameters:
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int8_mask: true
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```
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# About Jan
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Jan believes in the need for an open-source AI ecosystem and is building the infra and tooling to allow open-source AIs to compete on a level playing field with proprietary ones.
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Jan's long-term vision is to build a cognitive framework for future robots, who are practical, useful assistants for humans and businesses in everyday life.
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# Jan Model Merger
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This is a test project for merging models.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found here.
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| Metric | Value |
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|-----------------------|---------------------------|
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| Avg. | ?|
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| ARC (25-shot) | ? |
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| HellaSwag (10-shot) | ? |
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| MMLU (5-shot) | ?|
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| TruthfulQA (0-shot) | ? |
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| Winogrande (5-shot) | ? |
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| GSM8K (5-shot) | ? |
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# Acknowlegement
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- [mergekit](https://github.com/cg123/mergekit)
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- [DARE](https://github.com/yule-BUAA/MergeLM/blob/main/README.md)
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- [lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness)
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