What are the hardware requirements for Qwen3 30B A3B Instruct 2507 AWQ 4bit?

Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 AWQ 4bit and how large is it?

Qwen3 30B A3B Instruct 2507 AWQ 4bit is developed by cyankiwi, 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 Instruct 2507 AWQ 4bit?

Qwen3 30B A3B Instruct 2507 AWQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 30B A3B Instruct 2507 AWQ 4bit by cyankiwi — VRAM 18.1GB, 256K context

Name: Qwen3 30B A3B Instruct 2507 AWQ 4bit
Author: cyankiwi

Qwen3 30B A3B Instruct 2507 AWQ 4bit is an open-source language model by cyankiwi. Features: 30b LLM, VRAM: 18.1GB, Context: 256K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.29.

Arxiv:2402.17463 Arxiv:2404.06654 Arxiv:2407.02490 Arxiv:2501.15383 Arxiv:2505.09388 4bit Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-30b-a3b-... Compressed-tensors Conversational Endpoints compatible Instruct Quantized Qwen3 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit

Qwen3 30B A3B Instruct 2507 AWQ 4bit Parameters and Internals

LLM Name	Qwen3 30B A3B Instruct 2507 AWQ 4bit
Repository 🤗	https://huggingface.co/cyankiwi/Qwen3-30B-A3B-Instruct-2507-AWQ-4bit
Base Model(s)	Qwen3 30B A3B Instruct 2507 Qwen/Qwen3-30B-A3B-Instruct-2507
Model Size	30b
Required VRAM	18.1 GB
Updated	2026-08-06
Maintainer	cyankiwi
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
Model Architecture	Qwen3MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 30B A3B Instruct 2507 AWQ 4bit 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

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