Fine Tuning LLM: Parameter Efficient Fine Tuning (PEFT) — LoRA & QLoRA — Part 1 | daily.dev
LLM (GPT) Fine Tuning — PEFT | LoRA | Adapters | Quantization | by Siddharth vij | Medium
Parameter-Efficient Fine-Tuning Guide for LLM | Towards Data Science
younes on X: "New release for PEFT library! 🔥 Do you know that you can now easily "merge" the LoRA adapter weights into the base model, and use the merged model as
Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters
A guide to Parameter-efficient Fine-tuning(PEFT)
Efficient Large Language Model training with LoRA and Hugging Face
Adapter-tuning w/ PEFT & LoRA for new LLMs - YouTube
Method to unload an adapter, to allow the memory to be freed · Issue #738 · huggingface/peft · GitHub
Combining the Transformer structure and PEFT method. | Download Scientific Diagram
Fine-tuning 20B LLMs with RLHF on a 24GB consumer GPU
Summary Of Adapter Based Performance Efficient Fine Tuning (PEFT) Techniques For Large Language Models | smashinggradient
Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters
Understanding Parameter-Efficient Finetuning of Large Language Models: From Prefix Tuning to LLaMA-Adapters
LLaMA-Adapter Efficient Fine-tuning of LLaMA - YouTube
Parameter-Efficient Fine-Tuning (PEFT) of LLMs: A Practical Guide
Exploring Parameter-Efficient Fine-Tuning (PEFT) Methods for Large Language Models (LLMs)
Efficient Fine-tuning with PEFT and LoRA | Niklas Heidloff
Examples of using peft with trl to finetune 8-bit models with Low Rank Adaption (LoRA)
Fine Tuning LLM: Parameter Efficient Fine Tuning (PEFT) — LoRA & QLoRA — Part 1 | by A B Vijay Kumar | Medium
Study notes on parameter-efficient finetuning techniques
AdapterHub - Updates in Adapter-Transformers v3.1
