What are the hardware requirements for DeepSeek R1 0528?

DeepSeek R1 0528 requires approximately 176.1 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek R1 0528 and how large is it?

DeepSeek R1 0528 is developed by unsloth, a model with 684.5b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does DeepSeek R1 0528 perform on standard benchmarks?

DeepSeek R1 0528 has the following published scores: LMSYS ELO 1422. Compare against reference models on this page or on the LLM Explorer leaderboards.

DeepSeek R1 0528 by unsloth — VRAM 176.1GB, 160K context

Name: DeepSeek R1 0528
Author: unsloth

DeepSeek R1 0528 is an open-source language model by unsloth. Features: 684.5b LLM, VRAM: 176.1GB, Context: 160K, License: mit, LLM Explorer Score: 0.33, ELO: 1422.

Arxiv:2501.12948 Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Custom code Deepseek Deepseek v3 En Endpoints compatible Fp8 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/DeepSeek-R1-0528

DeepSeek R1 0528 Benchmarks

LMSys ELO 1422 vs 1272 (so35) 11.8%

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

DeepSeek R1 0528 Parameters and Internals

LLM Name	DeepSeek R1 0528
Repository 🤗	https://huggingface.co/unsloth/DeepSeek-R1-0528
Base Model(s)	DeepSeek R1 0528 deepseek-ai/DeepSeek-R1-0528
Model Size	684.5b
Required VRAM	176.1 GB
Updated	2026-06-30
Maintainer	unsloth
Model Type	deepseek_v3
Model Files	5.2 GB: 1-of-163 4.3 GB: 2-of-163 4.3 GB: 3-of-163 4.3 GB: 4-of-163 4.3 GB: 5-of-163 4.4 GB: 6-of-163 4.3 GB: 7-of-163 4.3 GB: 8-of-163 4.3 GB: 9-of-163 4.3 GB: 10-of-163 4.3 GB: 11-of-163 1.3 GB: 12-of-163 4.3 GB: 13-of-163 4.3 GB: 14-of-163 4.3 GB: 15-of-163 4.3 GB: 16-of-163 4.3 GB: 17-of-163 4.3 GB: 18-of-163 4.3 GB: 19-of-163 4.3 GB: 20-of-163 4.3 GB: 21-of-163 4.3 GB: 22-of-163 4.3 GB: 23-of-163 4.3 GB: 24-of-163 4.3 GB: 25-of-163 4.3 GB: 26-of-163 4.3 GB: 27-of-163 4.3 GB: 28-of-163 4.3 GB: 29-of-163 4.3 GB: 30-of-163 4.3 GB: 31-of-163 4.3 GB: 32-of-163 4.3 GB: 33-of-163 1.8 GB: 34-of-163 4.3 GB: 35-of-163 4.3 GB: 36-of-163 4.3 GB: 37-of-163 4.3 GB: 38-of-163 4.3 GB: 39-of-163 4.3 GB: 40-of-163 4.3 GB: 41-of-163 4.3 GB: 42-of-163
Supported Languages	en
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.52.4
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the DeepSeek R1 0528 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

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Kimi K2 Thinking NVFP4	256K / 210 GB	15569	29
Kimi K2 Thinking BF16	256K / 220 GB	63	6
Kimi K2 Instruct 0905	256K / 667.4 GB	17	7
DeepSeek R1 0528 FP4	160K / 107 GB	72991	36
DeepSeek V3.0324 FP4	160K / 242.8 GB	9984	12
DeepSeek R1 FP4	160K / 232 GB	6856	264
DeepSeek V3.1 MLX 5.5bit	160K / GB	400	5
...V3.1 Base Int4 Mixed AutoRound	160K / 220 GB	103	2
...Seek V3.1 Int4 Mixed AutoRound	160K / 225 GB	53	11
R1 1776	160K / 243.4 GB	22	9