AviSoori1x/Tuning-the-Finetuning
Tuning the Finetuning: An exploration of achieving success with QLoRA
This project helps machine learning practitioners fine-tune large language models (LLMs) more efficiently. It guides you through the process of taking an existing LLM and adapting it to your specific tasks or datasets. The output is a specialized, better-performing LLM tailored to your needs.
No commits in the last 6 months.
Use this if you need to adapt a powerful large language model to perform specific tasks with your unique data, without requiring extensive computational resources.
Not ideal if you are looking for a pre-trained model out-of-the-box or if you are not working with large language models.
Stars
46
Forks
18
Language
Python
License
Apache-2.0
Category
Last pushed
May 09, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/AviSoori1x/Tuning-the-Finetuning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
unslothai/unsloth
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama,...
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
modelscope/ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.5, DeepSeek-R1, GLM-5,...
oumi-ai/oumi
Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!
linkedin/Liger-Kernel
Efficient Triton Kernels for LLM Training