promptslab/LLMtuner
FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)
This project helps machine learning engineers and researchers adapt large language models (LLMs) like Llama and Whisper to perform specific tasks more accurately with custom data. You provide a pre-trained LLM and your unique text or audio dataset, and it outputs a fine-tuned model ready for deployment. This is ideal for those who need an off-the-shelf LLM to perform better on a niche task or dataset.
247 stars. No commits in the last 6 months.
Use this if you need to customize an existing large language model to perform optimally on your specific text-to-text, text-to-speech, or speech-to-text tasks with minimal coding.
Not ideal if you are looking to build a large language model from scratch or require extremely complex, low-level customization beyond standard fine-tuning practices.
Stars
247
Forks
16
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 13, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/promptslab/LLMtuner"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
adithya-s-k/AI-Engineering.academy
Mastering Applied AI, One Concept at a Time
jax-ml/jax-llm-examples
Minimal yet performant LLM examples in pure JAX
young-geng/scalax
A simple library for scaling up JAX programs
riyanshibohra/TuneKit
Upload your data → Get a fine-tuned SLM. Free.