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

Qwen2.5 32B YOYO MIX requires approximately 65.7 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 YOYO MIX and how large is it?

Qwen2.5 32B YOYO MIX is developed by YOYO-AI, 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 YOYO MIX?

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

Qwen2.5 32B YOYO MIX by YOYO-AI — VRAM 65.7GB, 128K context

Name: Qwen2.5 32B YOYO MIX
Author: YOYO-AI

Qwen2.5 32B YOYO MIX is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, License: apache-2.0, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-coder-... Codegen Conversational En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow Zh

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

Qwen2.5 32B YOYO MIX Parameters and Internals

LLM Name	Qwen2.5 32B YOYO MIX
Repository 🤗	https://huggingface.co/YOYO-AI/Qwen2.5-32B-YOYO-MIX
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-Coder-32B Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B-Instruct Qwen/Qwen2.5-Coder-32B Qwen/Qwen2.5-Coder-32B-Instruct
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-28
Maintainer	YOYO-AI
Model Type	qwen2
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 1.9 GB: 14-of-14
Supported Languages	en zh
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 32B YOYO MIX 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

Best Alternatives to Qwen2.5 32B YOYO MIX

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
QwQenSeek Coder	128K / 65.7 GB	20	5
Rombos Coder V2.5 Qwen 32B	128K / 65.8 GB	10	19
Tessa T1 32B	117K / 65.8 GB	12	22
UIGEN T1.5 32B	117K / 65.8 GB	12	13
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	1265226	2087
Qwen2.5 Coder 32B Instruct	32K / 65.8 GB	2100	7
Qwen2.5 Test 32B It	32K / 65.8 GB	0	10

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