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

模型介绍 模型概述 我们基于 qwen2 0.5B 模型进行了微调，使其具备了 function call 功能。下面示例使用了llamafactory 运行模型来提供api进行测试 您可以通过如下g

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

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

CosyVoice ?? CosyVoice Demos ?? [CosyVoice Paper][CosyVoice Studio][CosyVoice Code] For SenseVoice,

这里包含一系列预先量化的 LLM，可供 ChatLLM.cpp 直接使用。 注意：这里出于研究、学习之目的提供量化模型，每种模型的使用请遵循相应的用户协议。

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

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: false static_group

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. Bits: 4 Group Size: 128 Desc Act: true Static Groups

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. DBRX Base DBRX Base is a mixture-of-experts (MoE) la

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: false static_group

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups

This model has been quantized using GPTQModel. DBRX Instruct DBRX Instruct is a mixture-of-experts

This is the 15M parameter Llama 2 architecture model trained on the TinyStories dataset. These are

This model has been quantized using GPTQModel. bits: 4 group_size: 128 desc_act: true static_groups