Interaktive Checkpoints
Trainingsgewichte speichern
Speichert LoRA-Gewichte und Optimizer-Zustand eines interaktiven Jobs unter einem Namen. Liefert future_id, weights-Checkpoint-ID und tinker://-Pfad.
POST
POST /v1/training/jobs/{job_id}/save-weights
Saves the job’s LoRA weights and optimizer state as weights/<name>. You can
load it back into the same job,
or start a new job from it. To sample
or download weights, save them with
POST /v1/training/jobs/{job_id}/save-weights-for-sampler
instead.
The save runs in order with the job’s other calls.
Request
string
erforderlich
Your Fastino API key.
string
erforderlich
Interactive job ID.
string
erforderlich
1–128 characters from
A-Z, a-z, 0-9, ., _, and -.integer | null
Delete the checkpoint automatically after this many seconds, from
3600
(1 hour) to 315360000 (10 years). Omit it to keep the checkpoint until you
delete it. Live checkpoints count toward storage usage.boolean
Standard:"false"
Replace a state checkpoint with the same name.
object
String key-value metadata stored with the checkpoint.
Response
string
The
save future.string
weights/<name>.string
Full checkpoint path. Pass it as
from_checkpoint when you create a job.
