What are the hardware requirements for Qwen3 30B A3B Base?

Qwen3 30B A3B Base requires approximately 61.1 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 30B A3B Base and how large is it?

Qwen3 30B A3B Base is developed by Qwen, 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 30B A3B Base?

Qwen3 30B A3B Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 30B A3B Base by Qwen — VRAM 61.1GB, 32K context

Name: Qwen3 30B A3B Base
Author: Qwen

Qwen3 30B A3B Base is an open-source language model by Qwen. Features: 30b LLM, VRAM: 61.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.26.

Arxiv:2505.09388 Conversational Endpoints compatible Eval-results Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-30B-A3B-Base

Qwen3 30B A3B Base Parameters and Internals

LLM Name	Qwen3 30B A3B Base
Repository 🤗	https://huggingface.co/Qwen/Qwen3-30B-A3B-Base
Model Size	30b
Required VRAM	61.1 GB
Updated	2026-07-14
Maintainer	Qwen
Model Type	qwen3_moe
Model Files	4.0 GB: 1-of-16 4.0 GB: 2-of-16 4.0 GB: 3-of-16 4.0 GB: 4-of-16 4.0 GB: 5-of-16 4.0 GB: 6-of-16 4.0 GB: 7-of-16 4.0 GB: 8-of-16 4.0 GB: 9-of-16 4.0 GB: 10-of-16 4.0 GB: 11-of-16 4.0 GB: 12-of-16 4.0 GB: 13-of-16 4.0 GB: 14-of-16 4.0 GB: 15-of-16 1.1 GB: 16-of-16
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 30B A3B Base 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

Quantized Models of the Qwen3 30B A3B Base

Model	Likes	Downloads	VRAM
Qwen3 30B A3B Base Bnb 4bit	0	228	16 GB
Qwen3 30B A3B GPTQ	3	25	16 GB

Best Alternatives to Qwen3 30B A3B Base

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	140	10
... 42B A3B Thinking Total Recall	986K / 84.8 GB	26	0
Qwen3 30B A3B YOYO V3	986K / 61.1 GB	11	7
...07 YOYO2 TOTAL RECALL Instruct	986K / 84.8 GB	27	1
...07 YOYO2 TOTAL RECALL Instruct	986K / 106 GB	20	0
Qwen3 30B A3B YOYO V2	986K / 61.1 GB	19	4
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	1746771	1168
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	3937	13
Qwen3 30B A3B Instruct 2507	256K / 61.1 GB	1903736	824
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191

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