Post-Training
Built for your
Agent.Built for your Agent.
/Freesolo/people-searchOverview
Your training workspace at a glance.
No training runs yet
Build a training environment and launch your first run to start improving your model.
Agentnative.Builtforengineers.
Researchers want a loop to tune. You want a model in prod. Point your agent at Flash and a finished, deployable model comes back.
Three steps. All in natural language.
Your agent names the model and task, and points at your data.
Flash returns one fixed quote and an ETA before anything runs. Say go.
A deployable model comes back, weights exported to your repo.
Your agent names the model and task, and points at your data.
Flash returns one fixed quote and an ETA before anything runs. Say go.
A deployable model comes back, weights exported to your repo.
Up to 8× less than metered equivalents
No per-token meter, no GPU-hour roulette. Your agent gets one quote for the whole run.
Specializationbeatsthefrontier.
A sub-10B model tuned on your data beats a frontier model on your task, cheap and fast enough to retrain on the fly.
Buildfortrilliontokentasks.
A handful of hard prompts need the frontier. The millions of routine calls behind them are where SLMs win.
Customkernelsfortrainingatlightspeed.
We treat kernel engineering as a search problem. Each permutation is continuously optimized with an autoresearch loop to ensure maximum training throughput.
Yourdata.Yourmodel.Yourweights.
Every run returns downloadable weights in standard formats. Serve them anywhere.
Encrypted in transit and at rest, and never used to train anything but your model.
Pinned configs and seeds, checkpointed end to end so every run always finishes.