What are the hardware requirements for DeepSeek R1 Distill Qwen 32B Japanese 8bit?

DeepSeek R1 Distill Qwen 32B Japanese 8bit requires approximately 34.9 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 8bit and how large is it?

DeepSeek R1 Distill Qwen 32B Japanese 8bit is developed by mlx-community, 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 8bit?

DeepSeek R1 Distill Qwen 32B Japanese 8bit 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 8bit by mlx-community — VRAM 34.9GB, 128K context

Name: DeepSeek R1 Distill Qwen 32B Japanese 8bit
Author: mlx-community

DeepSeek R1 Distill Qwen 32B Japanese 8bit is an open-source language model by mlx-community. Features: 32b LLM, VRAM: 34.9GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.16.

8-bit 8bit Base model:cyberagent/deepseek... Base model:quantized:cyberagen... Conversational Ja Japanese Mlx Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese-8bit

DeepSeek R1 Distill Qwen 32B Japanese 8bit Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen 32B Japanese 8bit
Repository 🤗	https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese-8bit
Base Model(s)	...k R1 Distill Qwen 32B Japanese cyberagent/DeepSeek-R1-Distill-Qwen-32B-Japanese
Model Size	32b
Required VRAM	34.9 GB
Updated	2026-07-09
Maintainer	mlx-community
Model Type	qwen2
Model Files	5.3 GB: 1-of-7 5.4 GB: 2-of-7 5.4 GB: 3-of-7 5.3 GB: 4-of-7 5.4 GB: 5-of-7 5.4 GB: 6-of-7 2.7 GB: 7-of-7
Supported Languages	ja
Quantization Type	8bit
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 8bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Code Generation
Multi-Language Support and Translation

Best Alternatives to DeepSeek R1 Distill Qwen 32B Japanese 8bit

Best Alternatives	Context / RAM	Downloads	Likes
...Logic Mix 3 32B Mlx OptiQ 5bit	128K / 22.3 GB	41	1
...pSeek R1 Distill Qwen 32B 4bit	128K / 18.5 GB	7795	51
Hydraulic Deepseek 16bit	128K / 65.8 GB	52	0
...k R1 Distill Qwen 32B Bnb 4bit	128K / 19.2 GB	2717	29
...till Qwen 32B Abliterated 4bit	128K / 18.5 GB	888	7
QwQ 32B Unsloth Bnb 4bit	128K / 22.5 GB	179	47
...ogito V1 Preview Qwen 32B 4bit	128K / 18.5 GB	43	5
...T1 Flash Lightest 32B Mlx 4Bit	128K / 18.5 GB	231	8
QwQ 32B 4bit	128K / 18.5 GB	132	38
QwQ 32B Bnb 4bit	128K / 19.2 GB	157	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/DeepSeek-R1-Distill-Qwen-32B-Japanese-8bit.