What are the hardware requirements for DeepSeek R1 Distill Qwen 32B Japanese?

DeepSeek R1 Distill Qwen 32B Japanese 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 DeepSeek R1 Distill Qwen 32B Japanese and how large is it?

DeepSeek R1 Distill Qwen 32B Japanese is developed by cyberagent, 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 DeepSeek R1 Distill Qwen 32B Japanese?

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

DeepSeek R1 Distill Qwen 32B Japanese by cyberagent — VRAM 65.8GB, 128K context

Name: DeepSeek R1 Distill Qwen 32B Japanese
Author: cyberagent

DeepSeek R1 Distill Qwen 32B Japanese is an open-source language model by cyberagent. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: mit, LLM Explorer Score: 0.18.

Arxiv:2501.12948 Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Ja Japanese Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese

DeepSeek R1 Distill Qwen 32B Japanese Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 32B Japanese
Repository 🤗	https://huggingface.co/cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese
Base Model(s)	DeepSeek R1 Distill Qwen 32B deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-07-23
Maintainer	cyberagent
Model Type	qwen2
Model Files	4.9 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 2.1 GB: 14-of-14
Supported Languages	ja
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.47.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Qwen 32B Japanese 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

Quantized Models of the DeepSeek R1 Distill Qwen 32B Japanese

Model	Likes	Downloads	VRAM
...Distill Qwen 32B Japanese 8bit	2	106	34 GB
...Distill Qwen 32B Japanese 4bit	2	40	18 GB

Best Alternatives to DeepSeek R1 Distill Qwen 32B Japanese

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 cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese.