What are the hardware requirements for Qwen3 32B Bnb 4bit?

Qwen3 32B Bnb 4bit requires approximately 19.2 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 Bnb 4bit and how large is it?

Qwen3 32B Bnb 4bit is developed by unsloth, 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 Bnb 4bit?

Qwen3 32B Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 32B Bnb 4bit by unsloth — VRAM 19.2GB, 40K context

Name: Qwen3 32B Bnb 4bit
Author: unsloth

Qwen3 32B Bnb 4bit is an open-source language model by unsloth. Features: 32b LLM, VRAM: 19.2GB, Context: 40K, Quantized, LLM Explorer Score: 0.26.

Arxiv:2309.00071 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3-32b Bitsandbytes Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3-32B-bnb-4bit

Qwen3 32B Bnb 4bit Benchmarks

LLME Score: 0.2569

^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)

Qwen3 32B Bnb 4bit (unsloth/Qwen3-32B-bnb-4bit)

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Qwen3 32B Bnb 4bit Parameters and Internals

LLM Name	Qwen3 32B Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen3-32B-bnb-4bit
Base Model(s)	Qwen3 32B Qwen/Qwen3-32B
Model Size	32b
Required VRAM	19.2 GB
Updated	2026-05-10
Maintainer	unsloth
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 4.3 GB: 4-of-4
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Quantized Models of the Qwen3 32B Bnb 4bit

Model	Likes	Downloads	VRAM
...llcpt E5 Baseline Merged 16bit	0	1273	65 GB

Best Alternatives to Qwen3 32B Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...llcpt E5 Baseline Merged 16bit	40K / 65.8 GB	1273	0
... E5 Grad Accum 16 Merged 16bit	40K / 65.8 GB	494	0
...line Merged 16bit Merged 16bit	40K / 65.8 GB	30	0
SERA 32B 6bit	40K / 26.6 GB	12	2
Qwen3 32B Unsloth Bnb 4bit	40K / 39.5 GB	5822	15
Qwen3 32B MLX 8bit	40K / 33.7 GB	855	11
Qwen3 32B 4bit	40K / 18.5 GB	1319	5
Qwen3 32B MLX 4bit	40K / 17.4 GB	343	8
Qwen3 32B MLX 6bit	40K / 25.5 GB	79	4
Qwen3 32B 8bit	40K / 34.9 GB	180	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3-32B-bnb-4bit.

Rank the Qwen3 32B Bnb 4bit Capabilities

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Qwen3 32B Bnb 4bit by unsloth