Track 10: Training LLMs, Evaluate, Compress and Ship
Distillation: Teach a Small Model From a Big One
Distil a task from a large model to a small one.
Part of Train and Fine-Tune Models (43 of 45)
Course
Part of the free syllabus, not yet in a certificate course.
Udemy: coming soon
Tools
- Hugging Face TRL (open-source, free)
Watch first
In this module
- Benchmarks Explained, and lm-evaluation-harness
- Evaluate Your Fine-Tune Properly
- Quantization: GGUF, GPTQ, AWQ, bitsandbytes
- Merge, Export, Run Your Model (and Model Merging)
- Distillation: Teach a Small Model From a Big One
- Capstone: Fine-Tune for a Real Work Task
- Model Merging With mergekit: SLERP, TIES, DARE