Shypd.aiThe largest open index of AI toolsLLM-Finetuning-Toolkit is an open-source CLI tool for fine-tuning, ablating, and unit-testing open-source LLMs. It allows users to launch a series of fine-tuning experiments and gather results through a single YAML configuration file.
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LLM-Finetuning-Toolkit is a command-line interface (CLI) tool designed to streamline the process of fine-tuning, ablating, and unit-testing open-source Large Language Models (LLMs). It operates based on a single YAML configuration file, enabling users to control all elements of a typical experimentation pipeline, including prompts, choice of open-source LLMs, optimization strategies, and LLM testing. The toolkit supports various data ingestion methods, including public datasets from Hugging Face and custom JSON or CSV files. It also allows for advanced experimentation, such as running ablation studies across different prompt templates, LLMs (e.g., Llama2, Mistral, Falcon), and LoRA configurations. The modular and extensible architecture ensures that components like data ingestion, fine-tuning, inference, and quality assurance testing can be customized and enhanced to suit specific needs.
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