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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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+
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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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+
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+ <p align="center">
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+ <a href="https://jan.ai/">Jan</a
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+ >
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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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+
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+ # Model Description
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+ This model finetuned [trinity-v1](https://huggingface.co/jan-hq/trinity-v1) on [ultrafeedback_binarized_subset](jan-hq/ultrafeedback_binarized_subset)
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+ (cleaned version)
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+
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+ More details about the training result [here](https://huggingface.co/jan-hq/trinity-v1-dpo-adapter).
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+
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+ # Prompt template
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+
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+ ```
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+ {system_message}
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+ ### Instruction:
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+ {prompt}
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+
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+ ### Response:
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+
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+ ```
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+
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+ # Run this model
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+ You can run this model using [Jan Desktop](https://jan.ai/) on Mac, Windows, or Linux.
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+
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+ Jan is an open source, ChatGPT alternative that is:
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+
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+ - πŸ’» **100% offline on your machine**: Your conversations remain confidential, and visible only to you.
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+ - πŸ—‚οΈ **An Open File Format**: Conversations and model settings stay on your computer and can be exported or deleted at any time.
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+ - 🌐 **OpenAI Compatible**: Local server on port `1337` with OpenAI compatible endpoints
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+ - 🌍 **Open Source & Free**: We build in public; check out our [Github](https://github.com/janhq)
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/r7VmEBLGXpPLTu2MImM7S.png)
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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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+
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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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+
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+ # Open LLM Leaderboard Evaluation Results
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+
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+ Detailed results can be found here.
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+
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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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+
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+ # Acknowlegement
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+ - [alignment-handbook](https://github.com/huggingface/alignment-handbook)