What are the hardware requirements for DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit?

DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit requires approximately 7.5 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 Unsloth Bnb 4bit and how large is it?

DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit is developed by unsloth, 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 Unsloth Bnb 4bit?

DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit 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 Unsloth Bnb 4bit by unsloth — VRAM 7.5GB, 128K context

Name: DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit
Author: unsloth

DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit is an open-source language model by unsloth. Features: 8b LLM, VRAM: 7.5GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.21.

Arxiv:2501.12948 4-bit 4bit Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Bitsandbytes Conversational Deepseek Endpoints compatible Quantized Qwen Qwen3 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit

DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit Parameters and Internals

LLM Name	DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit
Base Model(s)	DeepSeek R1 0528 Qwen3 8B deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	7.5 GB
Updated	2026-07-31
Maintainer	unsloth
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 2.5 GB: 2-of-2
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit 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 0528 Qwen3 8B Unsloth Bnb 4bit

Model	Likes	Downloads	VRAM
Qwen3 8B LQA 14e Full	0	6	16 GB
...0528 Qwen3 8B Unsloth Bnb 4bit	0	7	16 GB

Best Alternatives to DeepSeek R1 0528 Qwen3 8B Unsloth Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0
BehChat SFTv2 Mixed Ckpt 6	128K / 16.4 GB	11	0
DeepSeek R1 0528 Qwen3 8B 4bit	128K / 4.6 GB	1781	6
...Seek R1 0528 Qwen3 8B Bnb 4bit	128K / 6.1 GB	923	9
Qwen3 8B LQA 14e Full	128K / 16.4 GB	6	0
...Seek R1 0528 Qwen3 8B 4bit DWQ	128K / 4.6 GB	212	8
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 16.4 GB	7	0
Annie Lite V0.2.9 Qwen3 8B	80K / 16.4 GB	5	0
Bonsai 8B Mlx 1bit	64K / 1.3 GB	9396	221
Bonsai 8B MLX Q2.25	64K / 2.3 GB	145	4

Note: green Score (e.g. "73.2") means that the model is better than unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit.