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On October 21, 2026, Modal released Modal Dojo, an LLM training library. According to Modal's official engineering blog, the library provides tuned default recipes, modifiable parameters, and an out-of-the-box metrics observability dashboard, and supports models ranging from 500 million to trillions of parameters; it is built on open-source frameworks such as Miles and Slime, can load datasets from Hugging Face, and lets agents query run status, logs, and trajectories via a CLI. The same source also states that Axiom Bio has used it to launch training of DeepSeek V4.1 Flash with a 64k context, running on 64 B300s. There are currently no subsequent independent developments.
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Modal Releases LLM Training Library Modal DojoDevelopments
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Oct 21
Modal Official Engineering BlogFirst-partySelected
Modal Releases LLM Training Library Modal Dojo
Modal has released Modal Dojo, a training library that provides tuned default recipes, modifiable parameters, and an out-of-the-box metrics observability dashboard, supporting models from 500 million to trillions of parameters. The library is built on open-source frameworks such as Miles and Slime, can load datasets from Hugging Face, and lets agents query run status, logs, and trajectories via a CLI. Axiom Bio says it has used it to launch training of DeepSeek V4.1 Flash with a 64k context, running on 64 B300s.