What are the hardware requirements for Qwen3 VL 30B A3B Instruct FP8?

Qwen3 VL 30B A3B Instruct FP8 requires approximately 32.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 VL 30B A3B Instruct FP8 and how large is it?

Qwen3 VL 30B A3B Instruct FP8 is developed by unsloth, a model with 30b 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 30B A3B Instruct FP8?

Qwen3 VL 30B A3B 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 30B A3B Instruct FP8 by unsloth — VRAM 32.2GB

Name: Qwen3 VL 30B A3B Instruct FP8
Author: unsloth

Qwen3 VL 30B A3B Instruct FP8 is an open-source language model by unsloth. Features: 30b LLM, VRAM: 32.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2308.12966 Arxiv:2409.12191 Arxiv:2502.13923 Arxiv:2505.09388 Base model:quantized:qwen/qwen... Base model:qwen/qwen3-vl-30b-a... Conversational Fp8 Image-text-to-text Instruct Qwen3 vl moe Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-FP8

Qwen3 VL 30B A3B Instruct FP8 Parameters and Internals

LLM Name	Qwen3 VL 30B A3B Instruct FP8
Repository 🤗	https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-FP8
Base Model(s)	Qwen3 VL 30B A3B Instruct FP8 Qwen/Qwen3-VL-30B-A3B-Instruct-FP8
Model Size	30b
Required VRAM	32.2 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen3_vl_moe
Instruction-Based	Yes
Model Files	10.6 GB: 1-of-4 10.6 GB: 2-of-4 10.7 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen3VLMoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Errors	replace

Rank the Qwen3 VL 30B A3B 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 30B A3B Instruct FP8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 VL 30B A3B Instruct	0K / 62.3 GB	488106	591
Qwen3 VL 30B A3B Instruct FP8	0K / 32.2 GB	734631	115
Bu 30B A3b Preview	0K / 62.3 GB	1035	263
Qwen3 VL 30B A3B Instruct	0K / 62.3 GB	515	3
Gelato 30B A3B	0K / 62.1 GB	30	34
Qwen3 VL 30B A3B Instruct Bf16	0K / 62.3 GB	87	4
Qwen3 VL 30B A3B Instruct 4bit	0K / 18.3 GB	925	8
Qwen3 VL 30B A3B Instruct 8bit	0K / 33.5 GB	231	3
Qwen3 VL 30B A3B Instruct 6bit	0K / 25.8 GB	72	2
Qwen3 VL 30B A3B Instruct AWQ	0K / 17.9 GB	1184704	45

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-VL-30B-A3B-Instruct-FP8.