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

Qwen2.5 32B requires approximately 65.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 32B and how large is it?

Qwen2.5 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 Qwen2.5 32B?

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

Qwen2.5 32B by Qwen — VRAM 65.5GB, 128K context

Name: Qwen2.5 32B
Author: Qwen

Qwen2.5 32B is an open-source language model by Qwen. Features: 32b LLM, VRAM: 65.5GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.32.

Arxiv:2407.10671 Conversational En Eval-results Qwen2 Region:us Safetensors Sharded Tensorflow

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

Qwen2.5 32B Parameters and Internals

Model Type

causal language model

Additional Notes

We do not recommend using base language models for conversations.

Supported Languages

English (proficient), Chinese (proficient), French (proficient), Spanish (proficient), Portuguese (proficient), German (proficient), Italian (proficient), Russian (proficient), Japanese (proficient), Korean (proficient), Vietnamese (proficient), Thai (proficient), Arabic (proficient)

Training Details

Methodology:

Pretraining

Context Length:

131072

Model Architecture:

transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias

LLM Name	Qwen2.5 32B
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	65.5 GB
Updated	2026-07-29
Maintainer	Qwen
Model Type	qwen2
Model Files	3.9 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
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B capabilities

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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

Quantized Models of the Qwen2.5 32B

Model	Likes	Downloads	VRAM
QwQ 32B 8.0bpw H8 EXL2	3	6	33 GB
Qwen2.5 32B Instruct 4bit	4	1502	18 GB
Qwen2.5 32B Bnb 4bit	3	997	19 GB
Qwen2.5 32B Instruct 8bit	7	979	34 GB

Best Alternatives to Qwen2.5 32B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	45	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	64	4
Franqwenstein 35B	128K / 69.8 GB	5	8

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