pytorch

Chinese-LLaMA-2-LoRA-7B-64K WARNING: LoRA model cannot be used alone. This repository contains Chine
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使用DPO数据(只使用中文部分训练,长对话偏好) DPO-EN-ZH-20k 包含大量偏好对齐的问答对数据,有助于进一步提升chat模型的对话质量,使其生成内容更加详细、适合人类偏好。
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Chinese-Alpaca-Pro-LoRA-7B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and configs
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Chinese-Alpaca-2-LoRA-13B This is the LoRA model for Chinese-Alpaca-2-13B,which should be merged wit
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Chinese-Alpaca-Plus-LoRA-7B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and config
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Chinese-LLaMA-2-LoRA-13B-16K This is the LoRA model for Chinese-LLaMA-2-13B-16K (context size 16K),w
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Chinese-Alpaca-Pro-LoRA-13B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and config
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Chinese-Alpaca-2-1.3B-RLHF This repository contains Chinese-Alpaca-2-1.3B-RLHF, which is tuned on Ch
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Chinese-Alpaca-Plus-LoRA-13B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and confi
220
Chinese-LLaMA-2-LoRA-13B This is the LoRA model for Chinese-LLaMA-2-13B,which should be merged with
260
Chinese-Alpaca-2-LoRA-7B-64K WARNING: LoRA model cannot be used alone. This repository contains Chin
290
Chinese-LLaMA-2-LoRA-7B-16K This is the LoRA model for Chinese-LLaMA-2-7B-16K (context size 16K),whi
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Chinese-Alpaca-2-LoRA-13B-16K This is the LoRA model for Chinese-Alpaca-2-13B-16K (context size 16K)
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Chinese-LLaMA-2-LoRA-7B This is the LoRA model for Chinese-LLaMA-2-7B,which should be merged with or
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当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 SDK下载 #安装ModelS
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Chinese-Alpaca-2-LoRA-7B This is the LoRA model for Chinese-Alpaca-2-7B,which should be merged with
240
Chinese-Alpaca-2-LoRA-7B-16K This is the LoRA model for Chinese-Alpaca-2-7B-16K (context size 16K),w
260
Chinese-Alpaca-Plus-LoRA-33B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and confi
250
Chinese-Alpaca-Pro-LoRA-33B This repo contains the tokenizer, Chinese-Alpaca LoRA weights and config
260
Chinese-Alpaca-2-7B-RLHF This repository contains Chinese-Alpaca-2-7B-RLHF, which is tuned on Chines
230
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