Get model limits for a specific fine-tuning model.
get/fine-tunes/models/limits
Query parameters
model_namestring required
The model name to get limits for.
Response
Model limits.
model_namestring required
The name of the model.
max_num_epochsinteger required
Maximum number of training epochs.
max_num_evalsinteger required
Maximum number of evaluations.
max_learning_ratenumber required
Maximum learning rate.
min_learning_ratenumber required
Minimum learning rate.
supports_full_trainingboolean 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_visionboolean required
Whether the model supports vision/multimodal inputs.
supports_toolsboolean required
Whether the model supports tool/function calling.
supports_reasoningboolean required
Whether the model supports reasoning.
merge_output_loraboolean 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.