What are the hardware requirements for Qwen3 Coder 30B A3B Instruct AWQ 4bit?

Qwen3 Coder 30B A3B Instruct AWQ 4bit requires approximately 18.1 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 AWQ 4bit and how large is it?

Qwen3 Coder 30B A3B Instruct AWQ 4bit is developed by cpatonn, 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 AWQ 4bit?

Qwen3 Coder 30B A3B Instruct AWQ 4bit 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 AWQ 4bit by cpatonn — VRAM 18.1GB, 256K context

Name: Qwen3 Coder 30B A3B Instruct AWQ 4bit
Author: cpatonn

Qwen3 Coder 30B A3B Instruct AWQ 4bit is an open-source language model by cpatonn. Features: 30b LLM, VRAM: 18.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.27.

Arxiv:2505.09388 4bit Autotrain compatible Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-coder-30... Codegen Compressed-tensors Conversational Endpoints compatible Instruct Quantized Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cpatonn/Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit

Qwen3 Coder 30B A3B Instruct AWQ 4bit Parameters and Internals

LLM Name	Qwen3 Coder 30B A3B Instruct AWQ 4bit
Repository 🤗	https://huggingface.co/cpatonn/Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit
Base Model(s)	Qwen3 Coder 30B A3B Instruct Qwen/Qwen3-Coder-30B-A3B-Instruct
Model Size	30b
Required VRAM	18.1 GB
Updated	2025-11-21
Maintainer	cpatonn
Model Type	qwen3_moe
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 3.1 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Generates Code	Yes
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.56.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 Coder 30B A3B Instruct AWQ 4bit 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 Coder 30B A3B Instruct AWQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...oder 30B A3B Instruct AWQ 4bit	256K / 18.1 GB	582899	56
...en3 Coder 30B A3B Instruct AWQ	256K / 16.7 GB	2464	3
...n3 Coder 30B A3B Instruct 4bit	256K / 17.2 GB	7252	33
...r 30B A3B Instruct 4bit Dwq V2	256K / 17.2 GB	1342	10
...n3 Coder 30B A3B Instruct 8bit	256K / 32.5 GB	1277	7
...oder 30B A3B Instruct 4bit DWQ	256K / 17.2 GB	644	5
...LL MASTER CODER M 1million Ctx	1024K / 84.8 GB	66	8
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

Note: green Score (e.g. "73.2") means that the model is better than cpatonn/Qwen3-Coder-30B-A3B-Instruct-AWQ-4bit.