What are the hardware requirements for Qwen3 32B AWQ?

Qwen3 32B AWQ requires approximately 19.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 32B AWQ and how large is it?

Qwen3 32B AWQ is developed by Qwen, a model with 32b 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 32B AWQ?

Qwen3 32B AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 32B AWQ by Qwen — VRAM 19.4GB, 40K context

Name: Qwen3 32B AWQ
Author: Qwen

Qwen3 32B AWQ is an open-source language model by Qwen. Features: 32b LLM, VRAM: 19.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

Arxiv:2309.00071 Arxiv:2505.09388 4-bit Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3-32b Conversational Endpoints compatible Quantized Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3-32B-AWQ

Qwen3 32B AWQ Parameters and Internals

LLM Name	Qwen3 32B AWQ
Repository 🤗	https://huggingface.co/Qwen/Qwen3-32B-AWQ
Base Model(s)	Qwen3 32B Qwen/Qwen3-32B
Model Size	32b
Required VRAM	19.4 GB
Updated	2026-07-21
Maintainer	Qwen
Model Type	qwen3
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 4.4 GB: 4-of-4
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
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Best Alternatives to Qwen3 32B AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 32B AWQ	40K / 19.4 GB	1029	3
Qwen3 32B Bnb 4bit	40K / 19.2 GB	83641	7
... E5 Grad Accum 16 Merged 16bit	40K / 65.8 GB	28	0
...llcpt E5 Baseline Merged 16bit	40K / 65.8 GB	24	0
...line Merged 16bit Merged 16bit	40K / 65.8 GB	16	0
SERA 32B 6bit	40K / 26.6 GB	27	2
SERA 32B 4bit	40K / 18.5 GB	12	1
SERA 32B GA 4bit	40K / 18.5 GB	7	1
Qwen3 32B Unsloth Bnb 4bit	40K / 39.5 GB	6674	15
Qwen3 32B 4bit	40K / 18.5 GB	2436	6