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GET
Get checkpoint

Authorizations

Authorization
string
header
default:default
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

id
string
required

ID of the checkpoint

Response

Checkpoint metadata

Metadata for a saved checkpoint

id
string
required

Unique identifier for the checkpoint

Example:

"123e4567-e89b-12d3-a456-426614174000"

session_id
string
required

Training session that produced the checkpoint

Example:

"123e4567-e89b-12d3-a456-426614174000"

base_model
string
required

Base model the checkpoint was trained from

Example:

"Qwen/Qwen3.5-4B"

type
enum<string>
required

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.

Available options:
CHECKPOINT_TYPE_TRAINING,
CHECKPOINT_TYPE_INFERENCE
Example:

"CHECKPOINT_TYPE_TRAINING"

step
required

Training step at time of save

Example:

"42"

created_at
string<date-time>
required

Timestamp when the checkpoint was created

Example:

"2026-01-02T00:00:00Z"

lora_rank
integer

LoRA rank of the session that produced this checkpoint. Absent for full-weight sessions and for checkpoints saved before this field was recorded.

Example:

32

inference_registration
object

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.

training_registration
object

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.