query_hyperparameter_priors

Query documented hyperparameter values, ranges, and tuning heuristics. Returns a suggestion table with KB-grounded justification.

When to Use

Default values: Look up recommended defaults for framework parameters
Tuning ranges: Get recommended ranges and tuning strategies
Context-specific settings: Suggestions tailored to hardware, model size, or task type

Parameter	Required	Type	Description
`query`	Yes	string	Hyperparameter question

Tool: query_hyperparameter_priors
Query: "Learning rate and LoRA rank for QLoRA fine-tuning Llama-3 8B"

Returns: A suggestion table with recommended values, ranges, and KB-grounded justification for each parameter.