What are the hardware requirements for Qwen3 VL 235B A22B Thinking FP8?

Qwen3 VL 235B A22B Thinking FP8 requires approximately 238.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 235B A22B Thinking FP8 and how large is it?

Qwen3 VL 235B A22B Thinking FP8 is developed by Qwen, a model with 235b 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 235B A22B Thinking FP8?

Qwen3 VL 235B A22B Thinking FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 VL 235B A22B Thinking FP8 by Qwen — VRAM 238.6GB

Name: Qwen3 VL 235B A22B Thinking FP8
Author: Qwen

Qwen3 VL 235B A22B Thinking FP8 is an open-source language model by Qwen. Features: 235b LLM, VRAM: 238.6GB, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-235b-... Conversational Deploy:azure Endpoints compatible Eval-results Fp8 Image-text-to-text Qwen3 vl moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Thinking-FP8

Qwen3 VL 235B A22B Thinking FP8 Parameters and Internals

LLM Name	Qwen3 VL 235B A22B Thinking FP8
Repository 🤗	https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Thinking-FP8
Base Model(s)	Qwen3 VL 235B A22B Thinking Qwen/Qwen3-VL-235B-A22B-Thinking
Model Size	235b
Required VRAM	238.6 GB
Updated	2026-08-10
Maintainer	Qwen
Model Type	qwen3_vl_moe
Model Files	10.0 GB: 1-of-24 10.0 GB: 2-of-24 10.0 GB: 3-of-24 10.0 GB: 4-of-24 10.0 GB: 5-of-24 10.0 GB: 6-of-24 10.0 GB: 7-of-24 10.0 GB: 8-of-24 10.0 GB: 9-of-24 10.0 GB: 10-of-24 10.0 GB: 11-of-24 10.0 GB: 12-of-24 10.0 GB: 13-of-24 10.0 GB: 14-of-24 10.0 GB: 15-of-24 10.0 GB: 16-of-24 10.0 GB: 17-of-24 10.0 GB: 18-of-24 10.0 GB: 19-of-24 10.0 GB: 20-of-24 10.0 GB: 21-of-24 10.0 GB: 22-of-24 10.0 GB: 23-of-24 8.6 GB: 24-of-24
Model Architecture	Qwen3VLMoeForConditionalGeneration
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 235B A22B Thinking 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 235B A22B Thinking FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 235B A22B Instruct	0K / 217.5 GB	1635205	412
...wen3 VL 235B A22B Instruct FP8	0K / 238.6 GB	133764	46
Qwen3 VL 235B A22B Thinking	0K / 217.5 GB	12154	400
...en3 VL 235B A22B Instruct GGUF	0K / 1.2 GB	4911	21
...en3 VL 235B A22B Thinking GGUF	0K / 1.2 GB	4263	40

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3-VL-235B-A22B-Thinking-FP8.