llm-finetuning
LLM Fine-Tuning with Unsloth (Done Right)
Fine-tune small open-weight LLMs locally for text tasks. Unsloth +
QLoRA makes this practical on consumer GPUs (8 GB VRAM). The workflow:
pick a model, format data as instruction-tuning pairs, fine-tune with
TRL's SFTTrainer, evaluate against zero-shot baseline, log to MLflow,
export to GGUF for llama.cpp deployment.
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