Inference Optimization Techniques

via “inference parameter auto-tuning based on model characteristics”

A Python library for fine-tuning LLMs [#opensource](https://github.com/unslothai/unsloth).

Unique: Automatic inference parameter tuning based on model characteristics and training metadata, eliminating manual hyperparameter configuration while optimizing for quality-speed trade-offs

vs others: Automatic parameter suggestion vs. manual tuning; model-aware tuning vs. generic parameter defaults