What are the hardware requirements for InternVL3 5 1B Instruct?

InternVL3 5 1B Instruct requires approximately 2.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InternVL3 5 1B Instruct and how large is it?

InternVL3 5 1B Instruct is developed by OpenGVLab, a model with 1b 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 5 1B Instruct?

InternVL3 5 1B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InternVL3 5 1B Instruct by OpenGVLab — VRAM 2.1GB

Name: InternVL3 5 1B Instruct
Author: OpenGVLab

InternVL3 5 1B Instruct is an open-source language model by OpenGVLab. Features: 1b LLM, VRAM: 2.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2312.14238 Arxiv:2404.16821 Arxiv:2411.10442 Arxiv:2412.05271 Arxiv:2504.10479 Arxiv:2508.18265 Base model:finetune:opengvlab/... Base model:opengvlab/internvl3... Conversational Custom code Dataset:opengvlab/mmpr-tiny Dataset:opengvlab/mmpr-v1.2 Feature-extraction Image-text-to-text Instruct Internvl Internvl chat Multilingual Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OpenGVLab/InternVL3_5-1B-Instruct

InternVL3 5 1B Instruct Parameters and Internals

LLM Name	InternVL3 5 1B Instruct
Repository 🤗	https://huggingface.co/OpenGVLab/InternVL3_5-1B-Instruct
Base Model(s)	InternVL3 5 1B Pretrained OpenGVLab/InternVL3_5-1B-Pretrained
Model Size	1b
Required VRAM	2.1 GB
Updated	2026-08-02
Maintainer	OpenGVLab
Model Type	internvl_chat
Instruction-Based	Yes
Model Files	2.1 GB
Model Architecture	InternVLChatModel
License	apache-2.0
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the InternVL3 5 1B Instruct capabilities

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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

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