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

QwQ R1 Distill Merge 32B requires approximately 47.2 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 R1 Distill Merge 32B and how large is it?

QwQ R1 Distill Merge 32B is developed by gbueno86, 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 R1 Distill Merge 32B?

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

QwQ R1 Distill Merge 32B by gbueno86 — VRAM 47.2GB, 128K context

Name: QwQ R1 Distill Merge 32B
Author: gbueno86

QwQ R1 Distill Merge 32B is an open-source language model by gbueno86. Features: 32b LLM, VRAM: 47.2GB, Context: 128K, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:deepseek-ai/deepsee... Base model:qwen/qwq-32b Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/gbueno86/QwQ-R1-Distill-Merge-32B

QwQ R1 Distill Merge 32B Parameters and Internals

LLM Name	QwQ R1 Distill Merge 32B
Repository 🤗	https://huggingface.co/gbueno86/QwQ-R1-Distill-Merge-32B
Base Model(s)	DeepSeek R1 Distill Qwen 32B QwQ 32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B Qwen/QwQ-32B
Merged Model	Yes
Model Size	32b
Required VRAM	47.2 GB
Updated	2026-07-27
Maintainer	gbueno86
Model Type	qwen2
Model Files	1.6 GB: 1-of-66 1.6 GB: 2-of-66 1.0 GB: 3-of-66 1.0 GB: 4-of-66 1.0 GB: 5-of-66 1.0 GB: 6-of-66 1.0 GB: 7-of-66 1.0 GB: 8-of-66 1.0 GB: 9-of-66 1.0 GB: 10-of-66 1.0 GB: 11-of-66 1.0 GB: 12-of-66 1.0 GB: 13-of-66 1.0 GB: 14-of-66 1.0 GB: 15-of-66 1.0 GB: 16-of-66 1.0 GB: 17-of-66 1.0 GB: 18-of-66 1.0 GB: 19-of-66 1.0 GB: 20-of-66 1.0 GB: 21-of-66 1.0 GB: 22-of-66 1.0 GB: 23-of-66 1.0 GB: 24-of-66 1.0 GB: 25-of-66 1.0 GB: 26-of-66 1.0 GB: 27-of-66 1.0 GB: 28-of-66 1.0 GB: 29-of-66 1.0 GB: 30-of-66 1.0 GB: 31-of-66 1.0 GB: 32-of-66 1.0 GB: 33-of-66 1.0 GB: 34-of-66 1.0 GB: 35-of-66 1.0 GB: 36-of-66 1.0 GB: 37-of-66 1.0 GB: 38-of-66 1.0 GB: 39-of-66 1.0 GB: 40-of-66 1.0 GB: 41-of-66 1.0 GB: 42-of-66 1.0 GB: 43-of-66 1.0 GB: 44-of-66 1.0 GB: 45-of-66 1.0 GB: 46-of-66
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the QwQ R1 Distill Merge 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 R1 Distill Merge 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
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than gbueno86/QwQ-R1-Distill-Merge-32B.