What are the hardware requirements for Qwen3 Vl 32B W4A16 AWQ H3?

Qwen3 Vl 32B W4A16 AWQ H3 requires approximately 20.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 Vl 32B W4A16 AWQ H3 and how large is it?

Qwen3 Vl 32B W4A16 AWQ H3 is developed by fbjr, 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 W4A16 AWQ H3?

Qwen3 Vl 32B W4A16 AWQ H3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 Vl 32B W4A16 AWQ H3 by fbjr — VRAM 20.4GB

Name: Qwen3 Vl 32B W4A16 AWQ H3
Author: fbjr

Qwen3 Vl 32B W4A16 AWQ H3 is an open-source language model by fbjr. Features: 32b LLM, VRAM: 20.4GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.32.

Awq Base model:minimaxai/minimax-h... Base model:quantized:minimaxai... Compressed-tensors Conversational Image-text-to-text Minimax-h3 Multimodal Quantized Qwen3 vl Region:us Safetensors Sglang Sharded Tensorflow Text-to-video Vision Vision-language Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/fbjr/qwen3-vl-32b-W4A16-AWQ-H3

Qwen3 Vl 32B W4A16 AWQ H3 Parameters and Internals

LLM Name	Qwen3 Vl 32B W4A16 AWQ H3
Repository 🤗	https://huggingface.co/fbjr/qwen3-vl-32b-W4A16-AWQ-H3
Base Model(s)	MiniMaxAI/MiniMax-H3 MiniMaxAI/MiniMax-H3
Model Size	32b
Required VRAM	20.4 GB
Updated	2026-08-25
Maintainer	fbjr
Model Type	qwen3_vl
Model Files	18.8 GB: 1-of-2 1.6 GB: 2-of-2 20.4 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3VLForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.15.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3 Vl 32B W4A16 AWQ H3 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 W4A16 AWQ H3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 32B Instruct AWQ	0K / 20.7 GB	549544	12
Qwen3 VL 32B Instruct Bnb 4bit	0K / 20.5 GB	298846	6
Qwen3 VL 32B Instruct 8bit	0K / 36.1 GB	2925	1
... 32B Instruct Unsloth Bnb 4bit	0K / 32.5 GB	1445	2
Qwen3 VL 32B Instruct 4bit	0K / 19.6 GB	388	1
Qwen3 VL 32B Thinking 4bit	0K / 19.6 GB	72	2
Qwen3 VL 32B Thinking Bnb 4bit	0K / 20.5 GB	55	2
Qwen3 VL 32B Thinking 8bit	0K / 36.1 GB	47	1
... 32B Thinking Unsloth Bnb 4bit	0K / 28.2 GB	25	2
Qwen3 VL 32B Instruct	0K / 67 GB	2881482	223

Note: green Score (e.g. "73.2") means that the model is better than fbjr/qwen3-vl-32b-W4A16-AWQ-H3.