What are the hardware requirements for Qwen2.5 VL 3B Instruct GGUF?

Qwen2.5 VL 3B Instruct GGUF requires approximately 0.8 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 3B Instruct GGUF and how large is it?

Qwen2.5 VL 3B Instruct GGUF is developed by unsloth, a model with 3b 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 3B Instruct GGUF?

Qwen2.5 VL 3B 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 3B Instruct GGUF by unsloth — VRAM 0.8GB, 125K context

Name: Qwen2.5 VL 3B Instruct GGUF
Author: unsloth

Qwen2.5 VL 3B Instruct GGUF is an open-source language model by unsloth. Features: 3b LLM, VRAM: 0.8GB, Context: 125K, Quantized, Instruction-Based, LLM Explorer Score: 0.25.

Arxiv:2308.12966 Arxiv:2309.00071 Arxiv:2409.12191 Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-3b-... 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-3B-Instruct-GGUF

Qwen2.5 VL 3B Instruct GGUF Parameters and Internals

LLM Name	Qwen2.5 VL 3B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-GGUF
Base Model(s)	Qwen/Qwen2.5-VL-3B-Instruct Qwen/Qwen2.5-VL-3B-Instruct
Model Size	3b
Required VRAM	0.8 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	6.2 GB 1.8 GB 1.7 GB 1.3 GB 1.3 GB 1.6 GB 1.4 GB 1.8 GB 2.0 GB 1.9 GB 1.8 GB 2.2 GB 2.2 GB 2.5 GB 3.3 GB 0.9 GB 0.8 GB 1.2 GB 1.0 GB 1.3 GB 1.3 GB 1.6 GB 2.0 GB 2.2 GB 2.8 GB 3.9 GB 1.3 GB 1.3 GB 2.7 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen2_5_VLForConditionalGeneration
Context Length	128000
Model Max Length	128000
Transformers Version	4.51.3
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the Qwen2.5 VL 3B Instruct GGUF 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

Best Alternatives to Qwen2.5 VL 3B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Nanonets OCR2 3B 8bit	125K / 4.6 GB	103	1
...L 3B Instruct Unsloth Bnb 4bit	125K / 3.8 GB	6992	16
...wen2.5 VL 3B Instruct Bnb 4bit	125K / 2.5 GB	4363	5
Qwen2.5 VL 3B Instruct 4bit	125K / 3.1 GB	3235	5
Holo1 3B 4bit	125K / 3.1 GB	27	1
Holo1 3B 3bit	125K / 2.7 GB	21	1
Qwen2.5 VL 3B Instruct 8bit	125K / 4.1 GB	528	7
Qwen2.5 VL 3B Instruct 3bit	125K / 2.7 GB	221	2
Qwen2.5 VL 3B Instruct 6bit	125K / 3.2 GB	98	3
Nanonets OCR2 3B	125K / 7.5 GB	659329	511

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-VL-3B-Instruct-GGUF.