What are the hardware requirements for Qwen2.5 VL 72B Instruct GGUF?

Qwen2.5 VL 72B 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 72B Instruct GGUF and how large is it?

Qwen2.5 VL 72B Instruct GGUF is developed by unsloth, a model with 72b 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 72B Instruct GGUF?

Qwen2.5 VL 72B 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 72B Instruct GGUF by unsloth — VRAM 1.4GB, 125K context

Name: Qwen2.5 VL 72B Instruct GGUF
Author: unsloth

Qwen2.5 VL 72B Instruct GGUF is an open-source language model by unsloth. Features: 72b LLM, VRAM: 1.4GB, Context: 125K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2308.12966 Arxiv:2309.00071 Arxiv:2409.12191 Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-72b... Conversational En Endpoints compatible Gguf Image-text-to-text Imatrix Instruct Multimodal Q2 Quantized Qwen2 5 vl Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-GGUF

Qwen2.5 VL 72B Instruct GGUF Parameters and Internals

LLM Name	Qwen2.5 VL 72B Instruct GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-GGUF
Base Model(s)	Qwen/Qwen2.5-VL-72B-Instruct Qwen/Qwen2.5-VL-72B-Instruct
Model Size	72b
Required VRAM	1.4 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	41.3 GB 39.7 GB 29.8 GB 30.1 GB 37.7 GB 34.5 GB 41.4 GB 45.7 GB 47.4 GB 43.9 GB 29.6 GB 25.7 GB 31.9 GB 30.4 GB 38.4 GB 47.3 GB 1.4 GB 1.4 GB 2.8 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	other
Context Length	128000
Model Max Length	128000
Transformers Version	4.52.0.dev0
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Qwen2.5 VL 72B Instruct GGUF 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

Best Alternatives to Qwen2.5 VL 72B Instruct GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 VL 72B Instruct 4bit	125K / 42.2 GB	1304	9
Qwen2.5 VL 72B Instruct 3bit	125K / 33.3 GB	296	5
...en2.5 VL 72B Instruct Bnb 4bit	125K / 41.8 GB	160	15
Qwen2.5 VL 72B Instruct 8bit	125K / 77.8 GB	214	2
... 72B Instruct Unsloth Bnb 4bit	125K / 45.1 GB	151	8
Qwen2.5 VL 72B Instruct 6bit	125K / 59.7 GB	132	1
Qwen2.5 VL 72B Instruct	125K / 146.8 GB	546414	645
Qwen2.5 VL 72B Instruct AWQ	125K / 43 GB	282497	73
Qwen2.5 VL 72B Instruct	125K / 147.5 GB	23	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-VL-72B-Instruct-GGUF.