What are the hardware requirements for YOYO O1 32B V2?

YOYO O1 32B V2 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 YOYO O1 32B V2 and how large is it?

YOYO O1 32B V2 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 YOYO O1 32B V2?

YOYO O1 32B V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

YOYO O1 32B V2 by YOYO-AI — VRAM 65.7GB, 128K context

Name: YOYO O1 32B V2
Author: YOYO-AI

YOYO O1 32B V2 is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2408.07990 Base model:open-r1/olympiccode... Base model:qihoo360/light-r1-3... Base model:qihoo360/light-r1-3... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwq-32b Codegen Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/YOYO-O1-32B-V2

YOYO O1 32B V2 Parameters and Internals

LLM Name	YOYO O1 32B V2
Repository 🤗	https://huggingface.co/YOYO-AI/YOYO-O1-32B-V2
Base Model(s)	OlympicCoder 32B Light R1 32B Light R1 32B DS Qwen/Qwen2.5-Coder-32B QwQ 32B open-r1/OlympicCoder-32B qihoo360/Light-R1-32B qihoo360/Light-R1-32B-DS Qwen/Qwen2.5-Coder-32B Qwen/QwQ-32B
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-08-05
Maintainer	YOYO-AI
Model Type	qwen2
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
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the YOYO O1 32B V2 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 YOYO O1 32B V2

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...2.5 Godzilla Coder V2 51B 128K	128K / 102.1 GB	8	1
Qwen2.5 32B YOYO V2	128K / 65.7 GB	11	1
QwQ Coder R1 Distill 32B	128K / 65.8 GB	8	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
QwQ Coder 32B	128K / 65.7 GB	10	7
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
Reasoning TIES Coder V1.1	128K / 65.7 GB	13	2
...ill Qwen Coder 32B Fusion 9010	128K / 65.8 GB	82	7

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/YOYO-O1-32B-V2.