What are the hardware requirements for InternVL Chat V1.5?

InternVL Chat V1.5 requires approximately 51.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed InternVL Chat V1.5 and how large is it?

InternVL Chat V1.5 is developed by OpenGVLab, a model with 6b 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 InternVL Chat V1.5?

InternVL Chat V1.5 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

InternVL Chat V1.5 by OpenGVLab — VRAM 51.2GB

Name: InternVL Chat V1.5
Author: OpenGVLab

InternVL Chat V1.5 is an open-source language model by OpenGVLab. Features: 6b LLM, VRAM: 51.2GB, License: mit, LLM Explorer Score: 0.17.

Arxiv:2312.14238 Arxiv:2404.16821 Arxiv:2410.16261 Arxiv:2412.05271 Base model:internlm/internlm2-... Base model:merge:internlm/inte... Base model:merge:opengvlab/int... Base model:opengvlab/internvit... Conversational Custom code Feature-extraction Image-text-to-text Internvl Internvl chat Multilingual Region:us Safetensors Sharded Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5

InternVL Chat V1.5 Parameters and Internals

LLM Name	InternVL Chat V1.5
Repository 🤗	https://huggingface.co/OpenGVLab/InternVL-Chat-V1-5
Base Model(s)	InternViT 6B 448px V1.5 Internlm2 Chat 20B OpenGVLab/InternViT-6B-448px-V1-5 internlm/internlm2-chat-20b
Model Size	6b
Required VRAM	51.2 GB
Updated	2026-08-08
Maintainer	OpenGVLab
Model Type	internvl_chat
Model Files	5.0 GB: 1-of-11 4.9 GB: 2-of-11 4.8 GB: 3-of-11 4.9 GB: 4-of-11 4.9 GB: 5-of-11 5.0 GB: 6-of-11 5.0 GB: 7-of-11 4.9 GB: 8-of-11 5.0 GB: 9-of-11 5.0 GB: 10-of-11 1.8 GB: 11-of-11
Model Architecture	InternVLChatModel
License	mit
Model Max Length	4096
Tokenizer Class	InternLM2Tokenizer
Padding Token	</s>
Torch Data Type	bfloat16

Rank the InternVL Chat V1.5 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 InternVL Chat V1.5

Model	Likes	Downloads	VRAM
InternVL Chat V1.5 AWQ	11	3249	23 GB

Best Alternatives to InternVL Chat V1.5

Best Alternatives	Context / RAM	Downloads	Likes
...ternVL3 5 241B A28B Pretrained	0K / 205 GB	36	1
InternVL3 5 38B Pretrained	0K / 77 GB	30	2
InternVL2 5 38B	0K / 77.1 GB	3235	49
InternVL2 5 78B	0K / 157.4 GB	736	193
InternVL3 78B Pretrained	0K / 157.4 GB	35	1
InternVL3 38B Pretrained	0K / 77.1 GB	34	1
InternVL2 5 26B	0K / 51.2 GB	1171	33
InternVL2 26B	0K / 51.2 GB	1623	118
InternVL2 Llama3 76B	0K / 153.4 GB	510	213
InternVL2 40B	0K / 80.5 GB	546	93

Note: green Score (e.g. "73.2") means that the model is better than OpenGVLab/InternVL-Chat-V1-5.