llama-launcher v1.3 release -> Bayesian Optimisation
The developer of llama-launcher, a GUI for creating llama-server commands, has released version 1.3. This update introduces a new feature that utilizes Bayesian optimization, specifically Tree-Structured Parzen estimation via the optuna framework, to automatically tune model parameters. Initial testing with Gemma 12B MTP models has shown up to a 15% improvement in speeds without manual intervention. AI
IMPACT This tool release may improve the efficiency of local LLM deployment and tuning for users.