Model reference · open weights

maira-2

LLMs microsoft Text gen 1 build Its own licence terms 3k dl/mo

maira-2 is an open-weight language model from microsoft. maira-2 (FP32) weighs 13.8 GB; the smallest configuration that runs it is RTX 4060 Ti 16 GB.

  • MAIRA-2 is a multimodal transformer developed by Microsoft Research Health Futures for generating grounded or non-grounded radiology reports from chest X-rays.
  • The model contains 6.9B parameters and operates in English, utilizing a frozen RAD-DINO-MAIRA-2 image encoder and a fine-tuned vicuna-7b-v1.5 language model.
  • It is intended for research purposes only and is not meant for clinical practice, with a licence identified as MSRLA.

Summary of the microsoft/maira-2 model card, 2026-10-01

What it is

Released bymicrosoft
Released2024-07-29
Parameters6.9B
VRAM13.8 GB for the weights

What it runs on

Memory and cards for maira-2 (FP32)

13.8 GBweights, file size
762 MBruntime overhead, at least

How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.

CardWeights alone
RTX 3060 12 GBdoes not fit
RTX 4060 Ti 16 GBtight
RTX 3090 24 GBfits
RTX 4090 24 GBfits
RTX 5090 32 GBfits
L40S 48 GBfits
A100 80 GBfits
H100 80 GBfits
RTX PRO 6000 Blackwell 96 GBfits
DGX Spark (GB10) 128 GB unifiedfits
H200 141 GBfits
B200 180 GBfits

How it works

How language models work

Your prompttext / messagesTransformerattention over tokensNext-token loopgenerate + streamResponsetext · tool callsA language model reads your tokens and predicts the next one, again and again, streaming the reply back.
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