What are the hardware requirements for Qwen3 VL 32B Instruct FP8?

Qwen3 VL 32B Instruct FP8 requires approximately 35.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 32B Instruct FP8 and how large is it?

Qwen3 VL 32B Instruct FP8 is developed by Qwen, a model with 32b 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 Qwen3 VL 32B Instruct FP8?

Qwen3 VL 32B Instruct FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 32B Instruct FP8 by Qwen — VRAM 35.7GB

Name: Qwen3 VL 32B Instruct FP8
Author: Qwen

Qwen3 VL 32B Instruct FP8 is an open-source language model by Qwen. Features: 32b LLM, VRAM: 35.7GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-32b-i... Conversational Deploy:azure Endpoints compatible Fp8 Image-text-to-text Instruct Qwen3 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct-FP8

Qwen3 VL 32B Instruct FP8 Parameters and Internals

LLM Name	Qwen3 VL 32B Instruct FP8
Repository 🤗	https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct-FP8
Base Model(s)	Qwen3 VL 32B Instruct Qwen/Qwen3-VL-32B-Instruct
Model Size	32b
Required VRAM	35.7 GB
Updated	2026-08-09
Maintainer	Qwen
Model Type	qwen3_vl
Instruction-Based	Yes
Model Files	5.3 GB: 1-of-7 5.4 GB: 2-of-7 5.4 GB: 3-of-7 5.4 GB: 4-of-7 5.4 GB: 5-of-7 5.4 GB: 6-of-7 3.4 GB: 7-of-7
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 VL 32B Instruct FP8 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 Qwen3 VL 32B Instruct FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 32B Instruct	0K / 67 GB	2881482	223
Qwen3 VL 32B Instruct FP8	0K / 35.7 GB	30	1
Cosmos Reason2 32B	0K / 66.4 GB	2662	14
Qwen3 VL 32B Instruct	0K / 67 GB	330	5
Qwen3 VL 32B Instruct Bnb 4bit	0K / 20.5 GB	298846	6
...truct Ultra Uncensored Heretic	0K / 66.7 GB	310	11
Qwen3 VL 32B Instruct 8bit	0K / 36.1 GB	2925	1
Qwen3 VL 32B Instruct 4bit	0K / 19.6 GB	388	1
... 32B Instruct Unsloth Bnb 4bit	0K / 32.5 GB	1445	2
Qwen3 VL 32B Instruct AWQ	0K / 20.7 GB	549544	12

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-VL-32B-Instruct-FP8.