roy-sub/LLM-FineTuning
Fine-Tuned Language Models Exploration using LoRA and Hugging Face's Transformers Library
This project helps NLP researchers and machine learning practitioners quickly explore how various advanced language models perform on different tasks. It provides pre-configured, fine-tuned examples of prominent LLMs, allowing users to input datasets or prompts and observe model outputs. The target users are those in NLP research, ML engineering, or data science roles who need to benchmark or experiment with large language models.
No commits in the last 6 months.
Use this if you are a researcher or practitioner looking for ready-to-use, fine-tuned examples of diverse language models to experiment with or benchmark their performance.
Not ideal if you are a business user looking for a no-code solution to apply LLMs, or if you need to deploy production-ready models without further development.
Stars
11
Forks
1
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 12, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/roy-sub/LLM-FineTuning"
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.