What are the hardware requirements for MAI DS R1 FP8?

MAI DS R1 FP8 requires approximately 167.5 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 MAI DS R1 FP8 and how large is it?

MAI DS R1 FP8 is developed by microsoft, a model with 671.1b 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 MAI DS R1 FP8?

MAI DS R1 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MAI DS R1 FP8 by microsoft — VRAM 167.5GB, 160K context

Name: MAI DS R1 FP8
Author: microsoft

MAI DS R1 FP8 is an open-source language model by microsoft. Features: 671.1b LLM, VRAM: 167.5GB, Context: 160K, License: mit, LLM Explorer Score: 0.18.

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

Model Card on HF 🤗: https://huggingface.co/microsoft/MAI-DS-R1-FP8

MAI DS R1 FP8 Parameters and Internals

LLM Name	MAI DS R1 FP8
Repository 🤗	https://huggingface.co/microsoft/MAI-DS-R1-FP8
Base Model(s)	DeepSeek R1 deepseek-ai/DeepSeek-R1
Model Size	671.1b
Required VRAM	167.5 GB
Updated	2026-08-05
Maintainer	microsoft
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
Model Architecture	DeepseekV3ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.46.3
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	129280
Torch Data Type	bfloat16

Rank the MAI DS R1 FP8 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 FP8

Best Alternatives	Context / RAM	Downloads	Likes
RakutenAI 3.0	160K / 189 GB	63	76

Note: green Score (e.g. "73.2") means that the model is better than microsoft/MAI-DS-R1-FP8.