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增加了readme中模型量化的导航以及示例
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@ -49,6 +49,7 @@ MiniCPM 是面壁智能与清华大学自然语言处理实验室共同开源的
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- [更新日志](#0)
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- [更新日志](#0)
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- [模型下载](#1)
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- [模型下载](#1)
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- [快速上手](#2)
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- [快速上手](#2)
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- [模型量化](#quantize)
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- [开源社区](#community)
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- [开源社区](#community)
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- [评测结果](#3)
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- [评测结果](#3)
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- [手机部署](#4)
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- [手机部署](#4)
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@ -258,7 +259,9 @@ print(model.response("<用户>山东省最高的山是哪座山, 它比黄山高
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```shell
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```shell
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python -m mlx_lm.generate --model mlx-community/MiniCPM-2B-sft-bf16-llama-format-mlx --prompt "hello, tell me a joke." --trust-remote-code
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python -m mlx_lm.generate --model mlx-community/MiniCPM-2B-sft-bf16-llama-format-mlx --prompt "hello, tell me a joke." --trust-remote-code
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```
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```
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<p id="community"></p>
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## 模型量化
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**gptq量化**
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**gptq量化**
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1. 首先git获取[minicpm_gptqd代码](https://github.com/LDLINGLINGLING/AutoGPTQ/tree/minicpm_gptq)
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1. 首先git获取[minicpm_gptqd代码](https://github.com/LDLINGLINGLING/AutoGPTQ/tree/minicpm_gptq)
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2. 进入minicpm_gptqd主目录./AutoGPTQ,命令行输入:
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2. 进入minicpm_gptqd主目录./AutoGPTQ,命令行输入:
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