Get checkpoint
Returns metadata for a checkpoint: type, base model, LoRA rank, step, and owning session.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
ID of the checkpoint
Response
Checkpoint metadata
Metadata for a saved checkpoint
Unique identifier for the checkpoint
"123e4567-e89b-12d3-a456-426614174000"
Training session that produced the checkpoint
"123e4567-e89b-12d3-a456-426614174000"
Base model the checkpoint was trained from
"Qwen/Qwen3.5-4B"
Kind of checkpoint. CHECKPOINT_TYPE_TRAINING is the full training state (weights and optimizer state), for resuming a training session with its optimizer state; CHECKPOINT_TYPE_INFERENCE is a model ready for serving or download, also added to your models.
CHECKPOINT_TYPE_TRAINING, CHECKPOINT_TYPE_INFERENCE "CHECKPOINT_TYPE_TRAINING"
Training step at time of save
"42"
Timestamp when the checkpoint was created
"2026-01-02T00:00:00Z"
LoRA rank of the session that produced this checkpoint. Absent for full-weight sessions and for checkpoints saved before this field was recorded.
32
Model registry artifacts to deploy or download this inference checkpoint from. Absent for training checkpoints and when the checkpoint was not uploaded to the registry.
Model registry artifact holding this training checkpoint's training state, used to resume training rather than to deploy. Absent for inference checkpoints and when the checkpoint was not uploaded to the registry.