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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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tags: |
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- merge |
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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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> |
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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 finetuned [trinity-v1.1](https://huggingface.co/jan-hq/trinity-v1) on [ultrafeedback_binarized_subset](jan-hq/ultrafeedback_binarized_subset) |
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(cleaned version) for adapting the ChatML prompt template. |
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More details about the training result [here](https://huggingface.co/jan-hq/trinity-v1.2-dpo-adapter). |
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# Prompt template |
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**ChatML** |
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``` |
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<|im_start|>system |
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{system_message}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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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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### Response: |
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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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Jan is an open source, ChatGPT alternative that is: |
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- 💻 **100% offline on your machine**: Your conversations remain confidential, and visible only to you. |
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- 🗂️ **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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# 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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# Open LLM Leaderboard Evaluation Results |
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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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- [alignment-handbook](https://github.com/huggingface/alignment-handbook) |
