InternVL3-1B-AWQ

OpenGVLab/InternVL3-1B-AWQ

PublisherOpenGVLab

Download access requirementsMirror available

InternVL3 是一个先进的多模态大型语言模型系列，在整体性能上表现出色。该模型具备卓越的多模态感知和推理能力，并进一步扩展到工具使用、GUI代理、工业图像分析、三维视觉感知等领域。得益于原生多模态预训练，InternVL3系列在整体文本性能上优于Qwen2.5系列支持输入：图像、文本、视频、多图像序列、GUI操作

Vision & LanguageEmbedding & RetrievalText Chat

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

InternVL3-1B

Model use case

InternVL3 是一个先进的多模态大型语言模型系列，在整体性能上表现出色。该模型具备卓越的多模态感知和推理能力，并进一步扩展到工具使用、GUI代理、工业图像分析、三维视觉感知等领域。

主要能力

多模态推理与数学能力

OCR、图表和文档理解

多图像与现实世界理解

视觉定位

多模态多语言理解

视频理解

GUI定位

空间推理

得益于原生多模态预训练，InternVL3系列在整体文本性能上优于Qwen2.5系列

输入输出

支持输入：图像、文本、视频、多图像序列、GUI操作

输出：文本响应、推理结果

运行要求

推荐使用transformers>=4.38.0

支持16位（bf16/fp16）推理

支持BNB 8位量化

支持多GPU部署

建议使用LMDeploy进行部署推理

基本用法

模型加载：支持使用transformers库加载模型进行推理

推理方式：支持流式输出、多图像推理、批量提示推理、多轮对话

微调支持：支持InternVL、SWIFT、XTurner等框架进行微调部署方式：可使用LMDeploy进行压缩、部署和服务化

限制

模型使用过程中需遵守Qwen License关于预训练模型的使用条款

License

本项目采用MIT许可证发布

本项目使用的Qwen2.5预训练模型采用Qwen License许可证

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

InternVL3-1B-AWQ model download

Download the full repository or choose a version or file.

Download tools · More than GGUF

Use the Hugging Face download tool to obtain OpenGVLab/InternVL3-1B-AWQ. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: d323c423ab714aac211522751b6cd96dc9dbeab3. Downloads files only; does not start the model.

Choose a download source

已根据访问地区推荐 Hugging Face 官方线路，你可以手动切换。

Choose what to download

Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

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

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

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 "OpenGVLab/InternVL3-1B-AWQ" --revision "d323c423ab714aac211522751b6cd96dc9dbeab3" --local-dir "./models/OpenGVLab--InternVL3-1B-AWQ"

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

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

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.