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52 postsTW 
Thomas Wolf@Thom_WolfYou should probably go give @poolsideai a follow on Hugging Face. These folks are on a roll, releasing one agentic coding models every month and the latest one Laguna S2.1 is quite possibly the best coding model you can run locally (single DGX spark or Mac) atm…
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EK Eiso Kant@eisokant🧵on how we prepare camera ready model evals: https://twitter.com/ilyakochik/status/2079860022729720033
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JW Jason Warner@jasoncwarnerToday we’re releasing Poolside Laguna S 2.1 It is a 118B-total, 8B-active open-weight model built for agentic coding and long-horizon work, with context up to 1M tokens https://poolside.ai/blog/introducing-laguna-s-2-1 Laguna S 2.1 sits at the top of its weight class and…
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AC Andrew Carr 🤸@andrew_n_carr@jasoncwarner 52 days is obscene. I've often said anything over 70 on terminal bench 2.1 is useful for most every coding task out there. 40 on deepswe is a huge bonus did you train it for context compaction?
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GB Gavin Baker@GavinSBaker- likes: 95
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EK Eiso Kant@eisokantToday we are releasing Laguna S 2.1. At 118B total parameters, with 8B active per token, it does the work of models several times its size on agentic coding. It is remarkably persistent across long-horizon tasks. And it is small enough to run on a single NVIDIA DGX Spark. It…
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