Add library name, pipeline tag and link to code
#2
by nielsr HF Staff - opened
README.md
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---
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license: llama3.1
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datasets:
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- BAAI/Infinity-Instruct
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language:
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- en
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---
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# Infinity Instruct
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<p align="center">
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</p>
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<p align="center">
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<em>Beijing Academy of Artificial Intelligence (BAAI)</em><br/>
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<em>[Paper][Code][
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</p>
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Infinity-Instruct-7M-Gen-Llama3.1-8B is an opensource supervised instruction tuning model without reinforcement learning from human feedback (RLHF). This model is just finetuned on [Infinity-Instruct-7M and Infinity-Instruct-Gen](https://huggingface.co/datasets/BAAI/Infinity-Instruct) and showing favorable results on AlpacaEval 2.0 compared to GPT4.
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## **How to use**
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Infinity-Instruct-7M-Gen-Llama3.1-8B adopt the same chat template of [Llama3-8B-instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct):
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```bash
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<|begin_of_text|><|start_header_id|>user<|end_header_id|>
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---
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datasets:
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- BAAI/Infinity-Instruct
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language:
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- en
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license: llama3.1
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library_name: transformers
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pipeline_tag: text-generation
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---
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# Infinity Instruct
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<p align="center">
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</p>
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<p align="center">
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<em>Beijing Academy of Artificial Intelligence (BAAI)</em><br/>
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<em>[Paper](https://huggingface.co/papers/2506.11116)[Code](https://github.com/BAAI/Infinity-Instruct) [\ud83e\udd17] (would be released soon)</em>
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</p>
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Infinity-Instruct-7M-Gen-Llama3.1-8B is an opensource supervised instruction tuning model without reinforcement learning from human feedback (RLHF). This model is just finetuned on [Infinity-Instruct-7M and Infinity-Instruct-Gen](https://huggingface.co/datasets/BAAI/Infinity-Instruct) and showing favorable results on AlpacaEval 2.0 compared to GPT4.
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## **How to use**
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Infinity-Instruct-7M-Gen-Llama3.1-8B adopt the same chat template of [Llama3-8B-instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct):\
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```bash
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<|begin_of_text|><|start_header_id|>user<|end_header_id|>
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