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POST

https://api.fastino.ai

training

jobs

{job_id}

save-weights

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/save-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "step-000100"}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "save",
  "checkpoint_id": "weights/step-000100",
  "path": "tinker://SESSION_ID:train:0/weights/step-000100"
}

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

requis

Your Fastino API key.

string

requis

Interactive job ID.

string

requis

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

défaut:"false"

Replace a state checkpoint with the same name.

object

String key-value metadata stored with the checkpoint.

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/save-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "step-000100"}'

Response

string

The save future.

string

weights/<name>.

string

Full checkpoint path. Pass it as from_checkpoint when you create a job.

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "save",
  "checkpoint_id": "weights/step-000100",
  "path": "tinker://SESSION_ID:train:0/weights/step-000100"
}

Status	Meaning
`400`	The name has invalid characters or length, the TTL is out of range, or the job was stopped.
`404`	The job doesn’t exist or belongs to another team.
`422`	The body is missing `name` or has an unknown field.

⌘I

curl -X POST "https://api.fastino.ai/v1/training/jobs/$TRAINING_JOB_ID/save-weights" \
  -H "X-API-Key: $FASTINO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"name": "step-000100"}'

{
  "future_id": "FUTURE_ID",
  "job_id": "SESSION_ID:train:0",
  "type": "save",
  "checkpoint_id": "weights/step-000100",
  "path": "tinker://SESSION_ID:train:0/weights/step-000100"
}

Inférence

Entraînement

Enregistrer les poids d'entraînement

Request

Response

​Request

​Response

Request

Response