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Fine-tuningFreeOpen Source
LLM FINETUNING TOOLKIT
Config-driven CLI tool for launching and comparing LLM fine-tuning experiments
Apache-2.0
ABOUT
Running LLM fine-tuning experiments typically involves manually tracking configurations, prompt templates, and model variants across separate scripts and notebooks. The LLM Finetuning Toolkit solves this with a single YAML config that defines the complete experimentation pipeline — data, prompts, models, optimization strategies, and evaluation — allowing researchers to run and compare multiple experiments from one configurable CLI entry point.
INSTALL
pip install llm-toolkitINTEGRATION GUIDE
1. Launching multiple LLM fine-tuning experiments from a single YAML configuration file
2. Comparing prompt templates, model architectures, and optimization strategies systematically
3. Running end-to-end fine-tuning pipelines with built-in testing and evaluation
4. Automating hyperparameter sweeps across different LLMs and training configurations
5. Reproducing fine-tuning experiments with version-controlled config files
TAGS
fine-tuningllmexperimentationclievaluation