What are the hardware requirements for InternVL3 9B AWQ?

InternVL3 9B AWQ requires approximately 6.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InternVL3 9B AWQ and how large is it?

InternVL3 9B AWQ is developed by OpenGVLab, a model with 9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate InternVL3 9B AWQ?

InternVL3 9B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InternVL3 9B AWQ by OpenGVLab — VRAM 6.8GB

Name: InternVL3 9B AWQ
Author: OpenGVLab

InternVL3 9B AWQ is an open-source language model by OpenGVLab. Features: 9b LLM, VRAM: 6.8GB, License: mit, Quantized, LLM Explorer Score: 0.18.

Arxiv:2312.14238 Arxiv:2404.16821 Arxiv:2411.10442 Arxiv:2412.05271 Arxiv:2412.09616 Arxiv:2504.10479 Awq Base model:opengvlab/internvl3... Base model:quantized:opengvlab... Conversational Custom code Dataset:opengvlab/mmpr-v1.2 Feature-extraction Image-text-to-text Internvl Internvl chat Multilingual Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/OpenGVLab/InternVL3-9B-AWQ

InternVL3 9B AWQ Parameters and Internals

LLM Name	InternVL3 9B AWQ
Repository 🤗	https://huggingface.co/OpenGVLab/InternVL3-9B-AWQ
Base Model(s)	InternVL3 9B OpenGVLab/InternVL3-9B
Model Size	9b
Required VRAM	6.8 GB
Updated	2026-08-08
Maintainer	OpenGVLab
Model Type	internvl_chat
Model Files	2.0 GB: 1-of-4 2.0 GB: 2-of-4 1.7 GB: 3-of-4 1.1 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	InternVLChatModel
License	mit
Model Max Length	8192
Tokenizer Class	InternLM3Tokenizer
Padding Token	</s>
Torch Data Type	float16

Rank the InternVL3 9B AWQ capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to InternVL3 9B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
InternVL3 9B	0K / 18.3 GB	3153	25
InternVL3 9B Instruct	0K / 18.3 GB	96	4

Note: green Score (e.g. "73.2") means that the model is better than OpenGVLab/InternVL3-9B-AWQ.