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  pipeline_tag: text-generation
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- # 模型介绍
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- - OrionStar-Yi-34B-Chat 是一款开源中英文Chat模型,由猎户星空基于Yi-34B开源模型、使用 __15W+__ 高质量语料微调而成。OrionStar-Yi-34B-Chat-Llama将OrionStar-Yi-34B-Chat转换为LLama格式直接进行加载而无需使用trust_remote_code=True。
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- - Yi系列模型是由零一万物团队开源的大模型,在多个权威的中文、英文及通用领域 benchmark
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- 上取得不错的效果。今天我们推出的Orionstar-Yi-34B-Chat更进一步挖掘了Yi-34B的潜力。通过对大量高质量微调语料库的深度训练,Orionstar-Yi-34B-Chat在评估数据上表现出色,我们致力于将其打造成为ChatGPT领域中的杰出开源替代品!
 
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- - 我们微调的模型对学术研究完全开放,同时请大家遵守[协议](#协议)
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- [Yi License](https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMENT.txt)
 
 
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- - 模型评估结果
 
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- 我们使用[opencompass](https://opencompass.org.cn)对以下通用领域数据集进行了 5-shot
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- 测试。其他模型评估结果取自[opencompass-leaderboard](https://opencompass.org.cn/leaderboard-llm)。
 
 
 
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  | | C-Eval | MMLU | CMMLU |
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  |---------------------------|-----------|--------|-----------|
 
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  pipeline_tag: text-generation
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+ [OrionStarAI/OrionStar-Yi-34B-Chat](https://huggingface.co/OrionStarAI/OrionStar-Yi-34B-Chat/tree/main) with tensors renamed to match standard Llama modelling code.
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+ # Model Introduction
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+ - OrionStar-Yi-34B-Chat from OrionStarAI is based on the open-source Yi-34B model, fine-tuned on a high-quality corpus
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+ of over 15 million sentences. OrionStar-Yi-34B-Chat aims to provide an excellent interactive experience for users in
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+ the large model community.
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+ - The Yi series models, open-sourced by the 01-ai team, have shown impressive performance on various benchmarks in
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+ Chinese, English, and general domains. OrionStar-Yi-34B-Chat further explores the potential of Yi-34B. Through
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+ extensive fine-tuning on a large and high-quality corpus, OrionStar-Yi-34B-Chat performs exceptionally well on
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+ evaluation data. We strive to make it an outstanding open-source alternative in the ChatGPT domain!
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+ - Our fine-tuned model is completely open for academic research, but please adhere to the [agreement](#license) and
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+ the [Yi License](https://github.com/01-ai/Yi/blob/main/MODEL_LICENSE_AGREEMENT.txt).
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+ - Model Evaluation Results
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+
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+ We use [opencompass](https://opencompass.org.cn) to perform 5-shot on the following general domain datasets Testing.
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+ The evaluation results of other models are taken
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+ from [opencompass leaderboard](https://opencompass.org.cn/leaderboard-llm).
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  | | C-Eval | MMLU | CMMLU |
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  |---------------------------|-----------|--------|-----------|