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

Qwen3 VL 235B A22B Thinking GGUF requires approximately 1.2 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 GGUF and how large is it?

Qwen3 VL 235B A22B Thinking GGUF is developed by unsloth, a model with 235b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Qwen3 VL 235B A22B Thinking GGUF perform on standard benchmarks?

Qwen3 VL 235B A22B Thinking GGUF has the following published scores: LMSYS ELO 1395. Compare against reference models on this page or on the LLM Explorer leaderboards.

Qwen3 VL 235B A22B Thinking GGUF by unsloth — VRAM 1.2GB

Name: Qwen3 VL 235B A22B Thinking GGUF
Author: unsloth

Qwen3 VL 235B A22B Thinking GGUF is an open-source language model by unsloth. Features: 235b LLM, VRAM: 1.2GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.38, ELO: 1395.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-235b-... Conversational Endpoints compatible Gguf Imatrix Quantized Qwen Qwen3 Qwen3 vl moe Region:us Unsloth

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

Qwen3 VL 235B A22B Thinking GGUF Benchmarks

LMSys ELO 1395 vs 1272 (so35) 9.7%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Qwen3 VL 235B A22B Thinking GGUF Parameters and Internals

LLM Name	Qwen3 VL 235B A22B Thinking GGUF
Repository 🤗	https://huggingface.co/unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF
Base Model(s)	Qwen3 VL 235B A22B Thinking Qwen/Qwen3-VL-235B-A22B-Thinking
Model Size	235b
Required VRAM	1.2 GB
Updated	2026-07-26
Maintainer	unsloth
Model Type	qwen3_vl_moe
Model Files	54.7 GB 1.2 GB 1.2 GB 2.3 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3VLMoeForConditionalGeneration
License	apache-2.0
Transformers Version	4.57.3

Rank the Qwen3 VL 235B A22B Thinking GGUF 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 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...en3 VL 235B A22B Instruct GGUF	0K / 1.2 GB	4911	21
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
...wen3 VL 235B A22B Thinking FP8	0K / 238.6 GB	24091	29

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