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

Qwen3 Coder 30B A3B Instruct requires approximately 61.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3 Coder 30B A3B Instruct 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 Coder 30B A3B Instruct?

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

Qwen3 Coder 30B A3B Instruct by Qwen — VRAM 61.1GB, 256K context

Name: Qwen3 Coder 30B A3B Instruct
Author: Qwen

Qwen3 Coder 30B A3B Instruct is an open-source language model by Qwen. Features: 30b LLM, VRAM: 61.1GB, Context: 256K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.36.

Arxiv:2505.09388 Codegen Conversational Deploy:azure Endpoints compatible Instruct Qwen3 moe Region:us Safetensors Sharded Tensorflow

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

Qwen3 Coder 30B A3B Instruct Parameters and Internals

LLM Name	Qwen3 Coder 30B A3B Instruct
Repository 🤗	https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct
Model Size	30b
Required VRAM	61.1 GB
Updated	2026-07-20
Maintainer	Qwen
Model Type	qwen3_moe
Instruction-Based	Yes
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
Generates Code	Yes
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Coder 30B A3B Instruct capabilities

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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 Coder 30B A3B Instruct

Model	Likes	Downloads	VRAM
...oder 30B A3B Instruct AWQ 4bit	56	582899	18 GB
...oder 30B A3B Instruct AWQ 4bit	23	165162	18 GB
...n3 Coder 30B A3B Instruct 4bit	33	7252	17 GB
...en3 Coder 30B A3B Instruct AWQ	3	2464	16 GB
...r 30B A3B Instruct 4bit Dwq V2	10	1342	17 GB
...n3 Coder 30B A3B Instruct 8bit	7	1277	32 GB
...der 30B A3B Instruct GPTQ 4bit	5	1055	16 GB
...oder 30B A3B Instruct 4bit DWQ	5	644	17 GB

Best Alternatives to Qwen3 Coder 30B A3B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	198	11
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
...en3 Coder 30B A3B Instruct FP8	256K / 31.2 GB	1556690	191
Tiny Pickle V3 Coder	256K / 61.2 GB	64	0
Qwen3 Coder 30B A3B Instruct	256K / 61.1 GB	9034	27
Qwen3 Coder REAP 25B A3B	256K / 49.8 GB	579	88
Qwen3 30B A3B YOYO V6	256K / 61.1 GB	19	7