What are the hardware requirements for Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct requires approximately 16.7 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 VL 7B Instruct and how large is it?

Qwen2.5 VL 7B Instruct is developed by Qwen, a model with 7b 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 Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 VL 7B Instruct by Qwen — VRAM 16.7GB, 125K context

Name: Qwen2.5 VL 7B Instruct
Author: Qwen

Qwen2.5 VL 7B Instruct is an open-source language model by Qwen. Features: 7b LLM, VRAM: 16.7GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.35.

Arxiv:2308.12966 Arxiv:2309.00071 Arxiv:2409.12191 Conversational Deploy:azure En Endpoints compatible Eval-results Image-text-to-text Instruct Multimodal Qwen2 5 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct

Qwen2.5 VL 7B Instruct Parameters and Internals

LLM Name	Qwen2.5 VL 7B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	16.7 GB
Updated	2026-08-09
Maintainer	Qwen
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-5 3.9 GB: 2-of-5 3.9 GB: 3-of-5 3.9 GB: 4-of-5 1.1 GB: 5-of-5
Supported Languages	en
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 VL 7B 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

Quantized Models of the Qwen2.5 VL 7B Instruct

Model	Likes	Downloads	VRAM
Qwen2.5 VL 7B Instruct AWQ	105	1535943	6 GB
Qwen2.5 VL 7B Instruct GGUF	205	154106	1 GB
OlmOCR 2 7B 1025 Mlx 8bit	2	172	9 GB
OlmOCR 2 7B 1025 Mlx 4bit	1	126	5 GB
OlmOCR 7B 0725 8bit	5	97	9 GB
Qwen2.5 VL 7B Instruct 4bit	4	3486	5 GB
Qwen2.5 VL 7B Instruct 8bit	17	1759	8 GB
Jedi 7B 1080p 6bit	1	19	6 GB
Jedi 7B 1080p 4bit	1	19	4 GB
Qwen2.5 VL 7B Instruct 6bit	3	107	6 GB

Best Alternatives to Qwen2.5 VL 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
OlmOCR 2 7B 1025 FP8	125K / 10 GB	540426	253
RolmOCR	125K / 16.6 GB	224280	589
PosterCopilot	125K / 16.7 GB	29	1
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
X Reasoner 7B	125K / 16.5 GB	1030	10
Qwen2.5 VL 7B Instruct NVFP4	125K / 7.2 GB	8092	16
ZwZ 7B	125K / 16.6 GB	32	10
Qwen2.5 VL 7B Instruct FP8	125K / 10 GB	1009	8
OlmOCR 2 7B 1025 Bf16	125K / 16.6 GB	154	2