What are the hardware requirements for InternVL3 1B Instruct?

InternVL3 1B Instruct requires approximately 1.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

InternVL3 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 1B Instruct?

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

InternVL3 1B Instruct by OpenGVLab — VRAM 1.9GB

Name: InternVL3 1B Instruct
Author: OpenGVLab

InternVL3 1B Instruct is an open-source language model by OpenGVLab. Features: 1b LLM, VRAM: 1.9GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

Arxiv:2312.14238 Arxiv:2404.16821 Arxiv:2411.10442 Arxiv:2412.05271 Arxiv:2412.09616 Arxiv:2504.10479 Base model:finetune:opengvlab/... Base model:opengvlab/internvl3... Conversational Custom code Feature-extraction Image-text-to-text Instruct Internvl Internvl chat Multilingual Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/OpenGVLab/InternVL3-1B-Instruct

InternVL3 1B Instruct Parameters and Internals

LLM Name	InternVL3 1B Instruct
Repository 🤗	https://huggingface.co/OpenGVLab/InternVL3-1B-Instruct
Base Model(s)	InternVL3 1B Pretrained OpenGVLab/InternVL3-1B-Pretrained
Model Size	1b
Required VRAM	1.9 GB
Updated	2026-08-09
Maintainer	OpenGVLab
Model Type	internvl_chat
Instruction-Based	Yes
Model Files	1.9 GB
Model Architecture	InternVLChatModel
License	apache-2.0
Model Max Length	1000000
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the InternVL3 1B Instruct 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

Quantized Models of the InternVL3 1B Instruct

Model	Likes	Downloads	VRAM
Gemma 3 4B It Qat 4bit	9	59028	3 GB
Gemma 3 12B It Qat 4bit	19	27592	8 GB
Gemma 3 27B It Qat 4bit	23	25062	16 GB
Kimi VL A3B Thinking 8bit	4	660	17 GB
Kimi VL A3B Thinking 6bit	1	250	13 GB
Gemma 3 27B It Qat 8bit	9	120	31 GB
Gemma 3 12B It Qat 3bit	1	61	6 GB
Gemma 3 12B It Qat 8bit	1	53	14 GB
Gemma 3 27B It Qat 3bit	1	38	13 GB

Best Alternatives to InternVL3 1B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
InternVL3 1B	0K / 1.9 GB	420183	85
InternVL2 1B	0K / 1.9 GB	824111	82
InternVL3 5 1B Instruct	0K / 2.1 GB	1133	7
InternVL2 5 1B	0K / 1.9 GB	20818	69
InternVL3 5 1B MPO	0K / 2.1 GB	43	2
InternVL3 8B Bf16	0K / 15.9 GB	38	1

Note: green Score (e.g. "73.2") means that the model is better than OpenGVLab/InternVL3-1B-Instruct.