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GET
cURL

Authorizations

Authorization
string
header
default:default
required

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

Query Parameters

model_name
string
required

The model name to get limits for.

Response

Model limits.

Model limits for fine-tuning.

model_name
string
required

The name of the model.

lora_training
object
required

Limits for LoRA training.

max_num_epochs
integer
required

Maximum number of training epochs.

max_num_evals
integer
required

Maximum number of evaluations.

max_learning_rate
number
required

Maximum learning rate.

min_learning_rate
number
required

Minimum learning rate.

supports_full_training
boolean
required

Whether the model supports full (non-LoRA) fine-tuning. When false, only LoRA fine-tuning is available and the full_training limits are reported as zero.

supports_vision
boolean
required

Whether the model supports vision/multimodal inputs.

supports_tools
boolean
required

Whether the model supports tool/function calling.

supports_reasoning
boolean
required

Whether the model supports reasoning.

merge_output_lora
boolean
required

Whether a merged checkpoint (the base model with the trained LoRA adapter fused in) is produced for LoRA fine-tunes of this model, in addition to the standalone adapter.

default_gradient_accumulation_steps
integer
required

Default gradient accumulation steps used when a fine-tune request omits the value or sets it to 0.

max_num_checkpoints
integer
required

Maximum number of checkpoints that can be saved during a fine-tuning job.

min_max_seq_length
integer
required

Minimum value allowed for the max_seq_length hyperparameter.

max_seq_length_sft
integer
required

Maximum sequence length supported for SFT training.

max_seq_length_dpo
integer
required

Maximum sequence length supported for DPO training.

full_training
object

Limits for full training.