stablelm-2-12b-chat

stabilityai/stablelm-2-12b-chat

PublisherStability AIVerified

Download access requirementsMirror available

StableLM 2 12B Chat 是一个拥有120亿参数的指令微调语言模型，基于公开数据集和合成数据集训练，采用直接偏好优化（DPO）技术。该模型是一个自回归语言模型，基于Transformer解码器架构构建。支持对话式交互和函数调用功能。使用ChatML指令格式处理输入。使用该模型需要安装transformers>=4.40.0版本。

Text Chat

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

StableLM 2 12B Chat 模型卡片

模型描述

StableLM 2 12B Chat 是一个拥有120亿参数的指令微调语言模型，基于公开数据集和合成数据集训练，采用直接偏好优化（DPO）技术。

主要能力

该模型是一个自回归语言模型，基于Transformer解码器架构构建。支持对话式交互和函数调用功能。使用ChatML指令格式处理输入。

运行要求

使用该模型需要安装transformers>=4.40.0版本。

输入输出

输入：采用ChatML格式的指令，可通过tokenizer的apply_chat_template方法调用

输出：对话回复

基本用法

StableLM 2 12B Chat 使用ChatML指令格式。该格式可通过tokenizer的apply_chat_template方法调用。模型支持函数调用功能。

License

StabilityAI非商业研究社区许可证。如需将该模型用于商业产品或目的，请联系lm@stability.ai了解更多。

使用限制

该模型适用于聊天类应用。开发者必须在特定使用场景下评估模型的安全性。

建议将该模型与输入和输出分类器配合使用，以防止产生有害回复。使用该模型需要对输入和输出设置防护措施，确保返回的内容不包含幻觉内容。由于每个使用场景不同，建议运行自己的测试套件以确保模型正常运行。如果模型不适合您的应用，或可能对他人造成直接或间接伤害，请勿使用该模型。

优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。

你将获得什么

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。

使用前须知

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

stablelm-2-12b-chat model download

Download the full repository or choose a version or file.

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Use the Hugging Face download tool to obtain stabilityai/stablelm-2-12b-chat. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

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If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

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python -m pip install --upgrade huggingface_hub

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Run the download command

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View the full download command

$env:HF_ENDPOINT = "https://huggingface.co"
$env:HF_HUB_DISABLE_IMPLICIT_TOKEN = "1"
$env:HF_HUB_DISABLE_XET = "1"
hf download "stabilityai/stablelm-2-12b-chat" --revision "b6b62cd451b84e848514c00fafa66d9ead9297c5" --local-dir "./models/stabilityai--stablelm-2-12b-chat"

Files transfer directly from the source you choose, not through Xianshe servers.

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Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.