What are the hardware requirements for DS R1 Distill 32B SCE?

DS R1 Distill 32B SCE 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 DS R1 Distill 32B SCE and how large is it?

DS R1 Distill 32B SCE 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 DS R1 Distill 32B SCE?

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

DS R1 Distill 32B SCE by YOYO-AI — VRAM 65.7GB, 128K context

Name: DS R1 Distill 32B SCE
Author: YOYO-AI

DS R1 Distill 32B SCE is an open-source language model by YOYO-AI. Features: 32b LLM, VRAM: 65.7GB, Context: 128K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Base model:deepseek-ai/deepsee... Base model:gen-verse/reasonflu... Base model:qihoo360/light-r1-3... Base model:qihoo360/tinyr1-32b... Base model:skywork/skywork-or1... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/YOYO-AI/DS-R1-Distill-32B-SCE

DS R1 Distill 32B SCE Parameters and Internals

LLM Name	DS R1 Distill 32B SCE
Repository 🤗	https://huggingface.co/YOYO-AI/DS-R1-Distill-32B-SCE
Base Model(s)	Light R1 32B DS ReasonFlux F1 Skywork OR1 32B Preview DeepSeek R1 Distill Qwen 32B TinyR1 32B Preview qihoo360/Light-R1-32B-DS Gen-Verse/ReasonFlux-F1 Skywork/Skywork-OR1-32B-Preview deepseek-ai/DeepSeek-R1-Distill-Qwen-32B qihoo360/TinyR1-32B-Preview
Merged Model	Yes
Model Size	32b
Required VRAM	65.7 GB
Updated	2026-07-26
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
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.1
Tokenizer Class	LlamaTokenizerFast
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	151665
Torch Data Type	bfloat16

Rank the DS R1 Distill 32B SCE 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 DS R1 Distill 32B SCE

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	19	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	18	4

Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/DS-R1-Distill-32B-SCE.