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

DeepSeek R1 0528 Qwen3 8B GGUF requires approximately 2.3 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 GGUF and how large is it?

DeepSeek R1 0528 Qwen3 8B GGUF 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 GGUF?

DeepSeek R1 0528 Qwen3 8B GGUF 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 GGUF by unsloth — VRAM 2.3GB, 128K context

Name: DeepSeek R1 0528 Qwen3 8B GGUF
Author: unsloth

DeepSeek R1 0528 Qwen3 8B GGUF is an open-source language model by unsloth. Features: 8b LLM, VRAM: 2.3GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.27.

Arxiv:2501.12948 Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Conversational Deepseek Endpoints compatible Gguf Q2 Quantized Qwen Qwen3 Region:us Unsloth

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

DeepSeek R1 0528 Qwen3 8B GGUF Parameters and Internals

LLM Name	DeepSeek R1 0528 Qwen3 8B GGUF
Repository 🤗	https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF
Base Model(s)	DeepSeek R1 0528 Qwen3 8B deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size	8b
Required VRAM	2.3 GB
Updated	2026-07-28
Maintainer	unsloth
Model Type	qwen3
Model Files	16.4 GB 4.8 GB 4.6 GB 3.3 GB 3.4 GB 4.1 GB 3.8 GB 4.8 GB 5.2 GB 5.0 GB 4.8 GB 5.8 GB 5.7 GB 6.7 GB 8.7 GB 2.4 GB 2.3 GB 3.1 GB 2.6 GB 3.4 GB 3.5 GB 4.3 GB 5.1 GB 5.9 GB 7.5 GB 10.8 GB
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.52.4
Vocabulary Size	151936
Torch Data Type	bfloat16

Rank the DeepSeek R1 0528 Qwen3 8B GGUF 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

Best Alternatives to DeepSeek R1 0528 Qwen3 8B GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 8B 128K GGUF	128K / 2.3 GB	2106	28
Qwen3 8B Houdini VEX V11	40K / 16.4 GB	596	3
AOS Qwen3 8B Grpo Merged	40K / 16.4 GB	485	0
...S Qwen3 8B Narrated Sft Merged	40K / 16.4 GB	620	0
AOS Qwen3 8B Narrated Merged	40K / 16.4 GB	413	0
Qwen3 8B MedReasonPath	40K / 16.4 GB	349	1
Qwen3 8B GGUF	40K / 2.3 GB	206898	140
Midas FableAgent 8B	40K / 16.4 GB	110	0
CustomThinker 0 8B	40K / 16.4 GB	205	29
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0

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