What are the hardware requirements for DeepSeek R1 0528 Qwen3 8B?

DeepSeek R1 0528 Qwen3 8B requires approximately 16.4 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 0528 Qwen3 8B and how large is it?

DeepSeek R1 0528 Qwen3 8B is developed by deepseek-ai, a model with 8b 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 0528 Qwen3 8B?

DeepSeek R1 0528 Qwen3 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 0528 Qwen3 8B by deepseek-ai — VRAM 16.4GB, 128K context

Name: DeepSeek R1 0528 Qwen3 8B
Author: deepseek-ai

DeepSeek R1 0528 Qwen3 8B is an open-source language model by deepseek-ai. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: mit, LLM Explorer Score: 0.34.

Arxiv:2501.12948 Conversational Endpoints compatible Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B

DeepSeek R1 0528 Qwen3 8B Benchmarks

LLME Score: 0.33806

^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 Qwen3 8B (deepseek-ai/DeepSeek-R1-0528-Qwen3-8B)

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DeepSeek R1 0528 Qwen3 8B Parameters and Internals

LLM Name	DeepSeek R1 0528 Qwen3 8B
Repository 🤗	https://huggingface.co/deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-05-25
Maintainer	deepseek-ai
Model Type	qwen3
Model Files	8.6 GB: 1-of-2 7.8 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.0
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	151936
Torch Data Type	bfloat16

Quantized Models of the DeepSeek R1 0528 Qwen3 8B

Model	Likes	Downloads	VRAM
DeepSeek R1 0528 Qwen3 8B GGUF	398	49632	2 GB
DeepSeek R1 0528 Qwen3 8B GGUF	11	156121	3 GB
...0528 Qwen3 8B Unsloth Bnb 4bit	13	7204	7 GB
DeepSeek R1 0528 Qwen3 8B 4bit	5	1599	4 GB
...Seek R1 0528 Qwen3 8B Bnb 4bit	10	560	6 GB
...Seek R1 Qwen3 0528 8B 4bit AWQ	4	131	4 GB
...Seek R1 0528 Qwen3 8B 4bit DWQ	8	174	4 GB

Best Alternatives to DeepSeek R1 0528 Qwen3 8B

Best Alternatives	Context / RAM	Downloads	Likes
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27
BehChat V2.1	128K / 16.4 GB	177	0
BehChat SFTv3 Ckpt3	128K / 16.4 GB	87	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	851	18
...1 0528 Qwen3 8B Abliterated V1	128K / 16.4 GB	194	34

Rank the DeepSeek R1 0528 Qwen3 8B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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DeepSeek R1 0528 Qwen3 8B by deepseek-ai