# tinker_cookbook.hyperparam_utils.get_lr

### [**tinker_cookbook.hyperparam_utils.get_lr**](https://github.com/thinking-machines-lab/tinker-cookbook/blob/main/tinker_cookbook/hyperparam_utils.py#L272)(*model_name*, *is_lora*)

Get a recommended learning rate for the given model.

Applies model-family-specific scaling based on hidden size. Only Llama and Qwen families have calibrated formulas; other models raise NotImplementedError.

**Parameters:**

- [**model_name**](https://github.com/thinking-machines-lab/tinker-cookbook/blob/main/tinker_cookbook/hyperparam_utils.py#L272) (*str*) – HuggingFace model identifier.
- [**is_lora**](https://github.com/thinking-machines-lab/tinker-cookbook/blob/main/tinker_cookbook/hyperparam_utils.py#L272) (*bool*) – If True, scale the base LR by the LoRA multiplier (10x).

**Returns:** The recommended learning rate.