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

Qwen2.5 VL 32B Instruct requires approximately 67.2 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 and how large is it?

Qwen2.5 VL 32B Instruct 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?

Qwen2.5 VL 32B Instruct 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 by unsloth — VRAM 67.2GB, 125K context

Name: Qwen2.5 VL 32B Instruct
Author: unsloth

Qwen2.5 VL 32B Instruct is an open-source language model by unsloth. Features: 32b LLM, VRAM: 67.2GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

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

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

Qwen2.5 VL 32B Instruct Parameters and Internals

LLM Name	Qwen2.5 VL 32B Instruct
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct
Base Model(s)	Qwen/Qwen2.5-VL-32B-Instruct Qwen/Qwen2.5-VL-32B-Instruct
Model Size	32b
Required VRAM	67.2 GB
Updated	2026-08-10
Maintainer	unsloth
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 3.4 GB: 14-of-14
Supported Languages	en
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 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen2.5 VL 32B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 VL 32B Instruct	125K / 68.3 GB	1128397	498
...ark DocReasoner Qwen2.5 VL 32B	125K / 67.2 GB	51	0
ScaleCUA 32B	125K / 67.2 GB	66	22
Qwen2.5 VL 32B Instruct Bf16	125K / 67.3 GB	304	5
...en2.5 VL 32B Instruct Bnb 4bit	125K / 19.7 GB	585	4
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 AWQ	125K / 20.9 GB	1549578	64

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