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Arcee Trinity Mini: US-Trained Moe Model

Arcee Trinity Mini: US-Trained Moe Model

6 comments

·December 2, 2025
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halJordan

Looks like a less good version of qwen 30b3a which makes sense bc it is slightly smaller. If they can keep that effiency going into the large one it'll be sick.

Trinity Large [will be] a 420B parameter model with 13B active parameters. Just perfect for a large Ram pool @ q4.

htrp

Trinity Nano Preview: 6B parameter MoE (1B active, ~800M non-embedding), 56 layers, 128 experts with 8 active per token

Trinity Mini: 26B parameter MoE (3B active), fully post-trained reasoning model

They did pretraining on their own and are still training the large version on 2048 B300 GPUs

bitwize

A moe model you say? How kawaii is it? uwu

ghc

Capitalization makes a surprising amount of difference here...

donw

Meccha at present, but it may reach sugoi levels with fine-tuning.

noxa

I hate that I laughed at this. Thanks ;)