What are the hardware requirements for MAI DS R1 GGUF?

MAI DS R1 GGUF requires a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MAI DS R1 GGUF and how large is it?

MAI DS R1 GGUF is developed by unsloth. 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 MAI DS R1 GGUF?

MAI DS R1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MAI DS R1 GGUF by unsloth — 160K context

Name: MAI DS R1 GGUF
Author: unsloth

MAI DS R1 GGUF is an open-source language model by unsloth. Features: LLM, Context: 160K, License: mit, Quantized, LLM Explorer Score: 0.19.

Base model:microsoft/mai-ds-r1 Base model:quantized:microsoft... Conversational Custom code Deepseek Deepseek v3 Endpoints compatible Gguf Microsoft Quantized Region:us Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/MAI-DS-R1-GGUF

MAI DS R1 GGUF Parameters and Internals

LLM Name	MAI DS R1 GGUF
Repository 🤗	https://huggingface.co/unsloth/MAI-DS-R1-GGUF
Base Model(s)	MAI DS R1 microsoft/MAI-DS-R1
Updated	2026-08-02
Maintainer	unsloth
Model Type	deepseek_v3
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.46.3
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the MAI DS R1 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 MAI DS R1 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
DeepSeek R1 GGUF	160K / GB	27242	1116
DeepSeek R1 0528 GGUF	160K / 162 GB	7195	202
DeepSeek V3.0324 GGUF	160K / GB	4793	200
DeepSeek V3.0324 GGUF UD	160K / GB	1820	23
DeepSeek R1 GGUF UD	160K / GB	1157	16
R1 1776 GGUF	160K / GB	1064	103
Kimi K2 Instruct GGUF	128K / GB	47901	229
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

Note: green Score (e.g. "73.2") means that the model is better than unsloth/MAI-DS-R1-GGUF.