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

Qwen2.5 VL 7B Instruct GGUF requires approximately 1.4 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 GGUF and how large is it?

Qwen2.5 VL 7B Instruct GGUF is developed by unsloth, 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 GGUF?

Qwen2.5 VL 7B Instruct GGUF 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 GGUF by unsloth — VRAM 1.4GB, 125K context

Name: Qwen2.5 VL 7B Instruct GGUF
Author: unsloth

Qwen2.5 VL 7B Instruct GGUF is an open-source language model by unsloth. Features: 7b LLM, VRAM: 1.4GB, Context: 125K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

Arxiv:2308.12966 Arxiv:2309.00071 Arxiv:2409.12191 Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-7b-... Conversational En Endpoints compatible Gguf Image-text-to-text Instruct Multimodal Q2 Quantized Qwen2 5 vl Region:us Unsloth

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

Qwen2.5 VL 7B Instruct GGUF Parameters and Internals

LLM Name	Qwen2.5 VL 7B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF
Base Model(s)	Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	1.4 GB
Updated	2026-08-09
Maintainer	unsloth
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	15.2 GB 4.4 GB 4.2 GB 3.0 GB 3.1 GB 3.8 GB 3.5 GB 4.4 GB 4.9 GB 4.7 GB 4.5 GB 5.4 GB 5.3 GB 6.2 GB 8.1 GB 2.2 GB 2.1 GB 2.9 GB 2.4 GB 3.2 GB 3.2 GB 4.0 GB 4.8 GB 5.5 GB 7.0 GB 10.2 GB 1.4 GB 1.4 GB 2.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.51.3
Vocabulary Size	152064
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to Qwen2.5 VL 7B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
OlmOCR 2 7B 1025 Mlx 8bit	125K / 9.4 GB	172	2
OlmOCR 2 7B 1025 Mlx 4bit	125K / 5.6 GB	126	1
OlmOCR 7B 0725 8bit	125K / 9.4 GB	97	5
Qwen2.5 VL 7B Instruct 4bit	125K / 5.6 GB	3486	4
Qwen2.5 VL 7B Instruct 8bit	125K / 8.9 GB	1759	17
Jedi 7B 1080p 4bit	125K / 4.9 GB	19	1
Jedi 7B 1080p 6bit	125K / 6.9 GB	19	1
Qwen2.5 VL 7B Instruct 6bit	125K / 6.9 GB	107	3
Qwen2.5 VL 7B Instruct 3bit	125K / 4.7 GB	56	1
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2