What are the hardware requirements for QwQ Coder R1 Distill 32B?

QwQ Coder R1 Distill 32B requires approximately 65.8 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 QwQ Coder R1 Distill 32B and how large is it?

QwQ Coder R1 Distill 32B is developed by tomasmcm, 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 Coder R1 Distill 32B?

QwQ Coder R1 Distill 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ Coder R1 Distill 32B by tomasmcm — VRAM 65.8GB, 128K context

Name: QwQ Coder R1 Distill 32B
Author: tomasmcm

QwQ Coder R1 Distill 32B is an open-source language model by tomasmcm. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Code Generating, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2408.07990 Base model:deepseek-ai/deepsee... Base model:qwen/qwen2.5-32b 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/tomasmcm/QwQ-Coder-R1-Distill-32B

QwQ Coder R1 Distill 32B Parameters and Internals

LLM Name	QwQ Coder R1 Distill 32B
Repository 🤗	https://huggingface.co/tomasmcm/QwQ-Coder-R1-Distill-32B
Base Model(s)	DeepSeek R1 Distill Qwen 32B QwQ 32B Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B Qwen/QwQ-32B Qwen/Qwen2.5-Coder-32B-Instruct Qwen/Qwen2.5-32B
Merged Model	Yes
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-22
Maintainer	tomasmcm
Model Type	qwen2
Model Files	5.0 GB: 1-of-14 5.0 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	152064
Torch Data Type	bfloat16
Errors	replace

Rank the QwQ Coder R1 Distill 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 Coder R1 Distill 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
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	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 tomasmcm/QwQ-Coder-R1-Distill-32B.