louisc-s/QLoRA-Fine-tuning-for-Film-Character-Styled-Responses-from-LLM
Code for fine-tuning Llama2 LLM with custom text dataset to produce film character styled responses
Implements QLoRA parameter-efficient fine-tuning to reduce memory overhead while adapting Llama2 for character-specific response generation. The pipeline includes automated data collection via web scraping, dataset curation into query-response pairs, and inference evaluation—enabling rapid iteration on character styling without full model retraining. Targets the PEFT library ecosystem for low-rank adaptation techniques.
No commits in the last 6 months.
Stars
9
Forks
1
Language
Python
License
—
Category
Last pushed
Jan 03, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/louisc-s/QLoRA-Fine-tuning-for-Film-Character-Styled-Responses-from-LLM"
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
MaximeRobeyns/bayesian_lora
Bayesian Low-Rank Adaptation for Large Language Models