What are the hardware requirements for QwQ Olympic Coder 32B?

QwQ Olympic Coder 32B requires approximately 65.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQ Olympic Coder 32B and how large is it?

QwQ Olympic Coder 32B 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 QwQ Olympic Coder 32B?

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

QwQ Olympic Coder 32B by YOYO-AI — VRAM 65.7GB, 32K context

Name: QwQ Olympic Coder 32B
Author: YOYO-AI

QwQ Olympic Coder 32B is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 32K, Code Generating, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Base model:open-r1/olympiccode... 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/QwQ-Olympic-coder-32B

QwQ Olympic Coder 32B Parameters and Internals

LLM Name	QwQ Olympic Coder 32B
Repository 🤗	https://huggingface.co/YOYO-AI/QwQ-Olympic-coder-32B
Base Model(s)	Qwen/Qwen2.5-Coder-32B QwQ 32B OlympicCoder 32B Qwen/Qwen2.5-Coder-32B Qwen/QwQ-32B open-r1/OlympicCoder-32B
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-08-03
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	32768
Model Max Length	32768
Transformers Version	4.51.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the QwQ Olympic Coder 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

Best Alternatives to QwQ Olympic Coder 32B

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
YOYO O1 32B V2	128K / 65.7 GB	6	3
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	11	2

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