Hugging Face's PEFT (Parameter-Efficient Fine-Tuning) library has recently received a major update, officially adding support for several advanced adapter…
In real-world generative AI applications, fine-tuning for specific tasks or clients is a common requirement. However, deploying a full base model for every…
This Hugging Face blog post takes an in-depth look at how to use LoRA (Low-Rank Adaptation) to fine-tune three models of different architectures and scales for…
This official Hugging Face blog post systematically maps out the complete ecosystem it has built around open-source large language models (LLMs). As…
This technical blog post from Hugging Face introduces how to combine TRL (Transformer Reinforcement Learning) and PEFT (Parameter-Efficient Fine-Tuning)…