What are the hardware requirements for Qwen3 32B?

Qwen3 32B requires approximately 65.6 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 and how large is it?

Qwen3 32B 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?

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

Qwen3 32B by Qwen — VRAM 65.6GB, 40K context

Name: Qwen3 32B
Author: Qwen

Qwen3 32B is an open-source language model by Qwen. Features: 32b LLM, VRAM: 65.6GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.37.

Arxiv:2309.00071 Arxiv:2505.09388 Conversational Deploy:azure Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

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

Qwen3 32B Benchmarks

LLME Score: 0.37473

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

🌟 Advertise your project 🚀

Qwen3 32B Parameters and Internals

LLM Name	Qwen3 32B
Repository 🤗	https://huggingface.co/Qwen/Qwen3-32B
Model Size	32b
Required VRAM	65.6 GB
Updated	2026-05-13
Maintainer	Qwen
Model Type	qwen3
Model Files	4.0 GB: 1-of-17 3.9 GB: 2-of-17 3.9 GB: 3-of-17 3.9 GB: 4-of-17 3.9 GB: 5-of-17 3.9 GB: 6-of-17 3.9 GB: 7-of-17 3.9 GB: 8-of-17 3.9 GB: 9-of-17 3.9 GB: 10-of-17 3.9 GB: 11-of-17 3.9 GB: 12-of-17 3.9 GB: 13-of-17 3.9 GB: 14-of-17 3.9 GB: 15-of-17 3.9 GB: 16-of-17 3.1 GB: 17-of-17
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Qwen3 32B

Model	Likes	Downloads	VRAM
Qwen3 32B AWQ	131	780086	19 GB
Qwen3 32B Bnb 4bit	7	43645	19 GB
Qwen3 32B GGUF	95	16678	7 GB
Qwen3 32B Unsloth Bnb 4bit	15	5822	39 GB
Qwen3 32B 128K GGUF	27	3440	7 GB
Qwen3 32B GPTQ Int4	4	3887	19 GB
Qwen3 32B 4bit	5	1319	18 GB
Qwen3 32B AWQ	3	173	19 GB
Qwen3 32B 8bit	1	185	34 GB

Best Alternatives to Qwen3 32B

Best Alternatives	Context / RAM	Downloads	Likes
...ll Qwen3 32B Preview7 QAT 200K	195K / 65.8 GB	4	3
...ll Qwen3 32B Preview6 QAT 200K	195K / 65.8 GB	6	2
...ll Qwen3 32B Preview4 QAT 200K	195K / 65.8 GB	1	2
Qwen3 32B	40K / 65.8 GB	9610	14
FrogBoss 32B 2510	40K / 65.8 GB	36714	29
Assistant Pepe 32B	40K / 65.5 GB	112	30
Nemotron Terminal 32B	40K / 65.6 GB	1869	38
Qwen3 32B FP8	40K / 34.5 GB	287993	83
Qwen3 32B NVFP4	40K / 20.7 GB	57530	17
SERA 32B	40K / 65.8 GB	170	112

Rank the Qwen3 32B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Qwen3 32B by Qwen