What are the hardware requirements for Qwen2 VL 72B Instruct GPTQ Int8?

Qwen2 VL 72B Instruct GPTQ Int8 requires approximately 78.4 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 GPTQ Int8 and how large is it?

Qwen2 VL 72B Instruct GPTQ Int8 is developed by Qwen, 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 GPTQ Int8?

Qwen2 VL 72B Instruct GPTQ Int8 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 GPTQ Int8 by Qwen — VRAM 78.4GB, 32K context

Name: Qwen2 VL 72B Instruct GPTQ Int8
Author: Qwen

Qwen2 VL 72B Instruct GPTQ Int8 is an open-source language model by Qwen. Features: 72b LLM, VRAM: 78.4GB, Context: 32K, License: other, Quantized, Instruction-Based.

Arxiv:2308.12966 8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2-vl-72b-i... Conversational En Gptq Image-text-to-text Instruct Multimodal Quantized Qwen2 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct-GPTQ-Int8

Qwen2 VL 72B Instruct GPTQ Int8 Parameters and Internals

LLM Name	Qwen2 VL 72B Instruct GPTQ Int8
Repository 🤗	https://huggingface.co/Qwen/Qwen2-VL-72B-Instruct-GPTQ-Int8
Base Model(s)	Qwen2 VL 72B Instruct Qwen/Qwen2-VL-72B-Instruct
Model Size	72b
Required VRAM	78.4 GB
Updated	2026-08-10
Maintainer	Qwen
Model Type	qwen2_vl
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-21 3.9 GB: 2-of-21 3.9 GB: 3-of-21 3.9 GB: 4-of-21 3.9 GB: 5-of-21 3.9 GB: 6-of-21 3.9 GB: 7-of-21 3.9 GB: 8-of-21 3.9 GB: 9-of-21 3.9 GB: 10-of-21 3.9 GB: 11-of-21 3.9 GB: 12-of-21 3.9 GB: 13-of-21 3.9 GB: 14-of-21 3.9 GB: 15-of-21 3.9 GB: 16-of-21 3.9 GB: 17-of-21 3.9 GB: 18-of-21 3.9 GB: 19-of-21 1.7 GB: 20-of-21 2.5 GB: 21-of-21
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen2VLForConditionalGeneration
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the Qwen2 VL 72B Instruct GPTQ Int8 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 VL 72B Instruct GPTQ Int8

Best Alternatives	Context / RAM	Downloads	Likes
...wen2 VL 72B Instruct GPTQ Int4	32K / 43 GB	536	30
Qwen2 VL 72B Instruct 8bit	32K / 77.8 GB	79	4
Qwen2 VL 72B Instruct 4bit	32K / 41.3 GB	72	5
Qwen2 VL 72B Instruct Bnb 4bit	32K / 41.8 GB	395	5
Qwen2 VL 72B Instruct AWQ	32K / 43 GB	87190	50
Qwen2 VL 72B Instruct	32K / 146.8 GB	60157	311
Qwen2 VL 72B Instruct	32K / 147.5 GB	61	1

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-VL-72B-Instruct-GPTQ-Int8.