What are the hardware requirements for Qwen2 VL 72B Instruct 4bit?

Qwen2 VL 72B Instruct 4bit requires approximately 41.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 VL 72B Instruct 4bit and how large is it?

Qwen2 VL 72B Instruct 4bit is developed by mlx-community, 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 VL 72B Instruct 4bit?

Qwen2 VL 72B Instruct 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 VL 72B Instruct 4bit by mlx-community — VRAM 41.3GB, 32K context

Name: Qwen2 VL 72B Instruct 4bit
Author: mlx-community

Qwen2 VL 72B Instruct 4bit is an open-source language model by mlx-community. Features: 72b LLM, VRAM: 41.3GB, Context: 32K, License: other, Quantized, Instruction-Based.

4bit Conversational En Endpoints compatible Image-text-to-text Instruct Mlx Multimodal Quantized Qwen2 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwen2-VL-72B-Instruct-4bit

Qwen2 VL 72B Instruct 4bit Parameters and Internals

LLM Name	Qwen2 VL 72B Instruct 4bit
Repository 🤗	https://huggingface.co/mlx-community/Qwen2-VL-72B-Instruct-4bit
Model Size	72b
Required VRAM	41.3 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen2_vl
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-8 5.3 GB: 2-of-8 5.3 GB: 3-of-8 5.3 GB: 4-of-8 5.3 GB: 5-of-8 5.3 GB: 6-of-8 5.3 GB: 7-of-8 4.2 GB: 8-of-8
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2VLForConditionalGeneration
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

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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

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Qwen2 VL 72B Instruct 8bit	32K / 77.8 GB	79	4