Today we release 𝙻𝙵𝙼𝟸.𝟻-𝟸𝟺𝙱-𝙰𝟸𝙱, the largest 𝙻𝙵𝙼𝟸.𝟻 family member. It is an efficient local model for laptops and PCs to work through multi-step tasks inside popular agent harnesses.
24B total parameters, 2B active per token
Context expanded to 131K tokens
A 128K-token vocabulary
33T pretraining tokens
It is a reasoning model
Very easy to fine-tune and customize
Performs competitively with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks.
Open base and post-trained weights on @huggingface 🤗
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