What are the hardware requirements for Qwen2.5 VL 32B Instruct Bnb 4bit?

Qwen2.5 VL 32B Instruct Bnb 4bit requires approximately 19.7 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 VL 32B Instruct Bnb 4bit and how large is it?

Qwen2.5 VL 32B Instruct 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 Qwen2.5 VL 32B Instruct Bnb 4bit?

Qwen2.5 VL 32B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 VL 32B Instruct Bnb 4bit by unsloth — VRAM 19.7GB, 125K context

Name: Qwen2.5 VL 32B Instruct Bnb 4bit
Author: unsloth

Qwen2.5 VL 32B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 32b LLM, VRAM: 19.7GB, Context: 125K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

Arxiv:2309.00071 Arxiv:2502.13923 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-32b... Bitsandbytes Conversational Deploy:azure En Endpoints compatible Image-text-to-text Instruct Multimodal Quantized Qwen2 5 vl Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-bnb-4bit

Qwen2.5 VL 32B Instruct Bnb 4bit Parameters and Internals

LLM Name	Qwen2.5 VL 32B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-bnb-4bit
Base Model(s)	Qwen/Qwen2.5-VL-32B-Instruct Qwen/Qwen2.5-VL-32B-Instruct
Model Size	32b
Required VRAM	19.7 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-4 5.0 GB: 2-of-4 5.0 GB: 3-of-4 4.8 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 VL 32B Instruct Bnb 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to Qwen2.5 VL 32B Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 VL 32B Instruct 4bit	125K / 19.8 GB	441	4
... 32B Instruct Unsloth Bnb 4bit	125K / 24.5 GB	376	14
Qwen2.5 VL 32B Instruct 8bit	125K / 36.2 GB	183	4
Qwen2.5 VL 32B Instruct 6bit	125K / 28 GB	77	1
Qwen2.5 VL 32B Instruct	125K / 68.3 GB	1128397	498
Qwen2.5 VL 32B Instruct AWQ	125K / 20.9 GB	1549578	64
...ark DocReasoner Qwen2.5 VL 32B	125K / 67.2 GB	51	0
Qwen2.5 VL 32B Instruct GGUF	125K / 1.4 GB	2849	9
ScaleCUA 32B	125K / 67.2 GB	66	22
Qwen2.5 VL 32B Instruct Bf16	125K / 67.3 GB	304	5

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-VL-32B-Instruct-bnb-4bit.