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Poolside

@poolsideai • 13,707 subscribers

We build models for agentic coding and long-horizon tasks. Try Laguna: https://t.co/setRB1BuGD

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Poolside is hosting a 2-day model research hackathon in London. Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab. Dates: May 29–30 Partners: NVIDIA + Prime Intellect + Hugging Face Prize: NVIDIA DGX Spark Agents need better models. Better models need cracked researchers. Link below.

Poolside is hosting a 2-day model research hackathon in London. Join us to push an open-weight agent model as far as you can. RL and fine-tune Laguna XS.2, our latest-generation model, on Prime Intellect Lab. Dates: May 29–30 Partners: NVIDIA + Prime Intellect + Hugging Face Prize: NVIDIA DGX Spark Agents need better models. Better models need cracked researchers. Link below.

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Turns out, the next Laguna also fits on a NVIDIA AI DGX Spark 👀

Turns out, the next Laguna also fits on a NVIDIA AI DGX Spark 👀

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We just crossed 10T tokens served across all our models in less than 3 months! Laguna S 2.1 is pushing new highs at ~300B tokens a day, and has processed +2T in the 14 days since release. That’s across OpenRouter Vercel and our direct API. Really good to see demand for open models keep accelerating.

We just crossed 10T tokens served across all our models in less than 3 months! Laguna S 2.1 is pushing new highs at ~300B tokens a day, and has processed +2T in the 14 days since release. That’s across OpenRouter Vercel and our direct API. Really good to see demand for open models keep accelerating.

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Laguna S 2.1 is built to run locally. We heard the ask for a serious open model in the 80–120B range. Laguna S 2.1 is our answer, and we want it to redefine what this size class can do. Weights ship in BF16, FP8, INT4 and NVFP4, with official GGUF and MLX conversions, plus official DFlash draft models for faster inference. Day-one support across llama.cpp, ollama, Valerie Lee Make Up, SGLang, NVIDIA TRT-LLM, Hugging Face transformers and ZML. Watch it run on an NVIDIA AI DGX Spark.

Laguna S 2.1 is built to run locally. We heard the ask for a serious open model in the 80–120B range. Laguna S 2.1 is our answer, and we want it to redefine what this size class can do. Weights ship in BF16, FP8, INT4 and NVFP4, with official GGUF and MLX conversions, plus official DFlash draft models for faster inference. Day-one support across llama.cpp, ollama, Valerie Lee Make Up, SGLang, NVIDIA TRT-LLM, Hugging Face transformers and ZML. Watch it run on an NVIDIA AI DGX Spark.

31,242 Aufrufe • vor 1 Monat

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