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a lightweight hybrid reasoning MoE model with 7.9B total parameters and only 1.3B activated parameters per token. It is designed to deliver strong reasoning and agentic capabilities under a small inference compute footprint, making advanced model capabilities more accessible for local and resource-constrained deployment.

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[-] fozid@lem.radiantfig.fyi 2 points 5 days ago

I haven't tried it yet, but I tested one of their previous ones with CPU interference on an Intel n97, and it was one of the best in terms of t/s performance and also prompt response quality on the metrics I tested against. When this run on llama.cpp I will try and give it a test.

this post was submitted on 10 Aug 2026
18 points (95.0% liked)

LocalLLaMA

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