tLLM
What it is
A Python library designed to simplify fine-tuning Large Language Models (LLMs) for instruction-tuning tasks. It abstracts complex Hugging Face ecosystem configurations by providing an encapsulated interface for model loading, 4-bit quantization (QLoRA), and dataset preprocessing.
The problem it solves
The complexity and technical overhead of configuring hyperparameters, LoRA settings, and data loaders within the Hugging Face ecosystem.
What you could use it for
- Fine-tuning a model to generate SQL queries from natural language (text2sql).
- Fine-tuning a model to generate Cypher queries (text2cypher).
- Tailoring an LLM for custom input-to-output tasks with specific context guidance.
- Training LLMs using LoRA and 4-bit quantization to reduce memory requirements.
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.