Falcon-Instruct (PEFT) is an open-source instruction-tuned large language model built on the Falcon architecture and enhanced with Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRA. It is optimized for efficiently performing a wide range of natural language tasks using minimal computational resources, making it suitable for both research and production environments.

Features of Falcon-Instruct (PEFT):

• Based on the high-performance Falcon transformer architecture.
• Instruction-tuned to follow human commands across diverse NLP tasks.
• Supports PEFT methods such as LoRA for lightweight fine-tuning.
• Released as open weights on Hugging Face under a permissive license.
• Efficient for inference and fine-tuning on consumer-grade hardware.
• Compatible with frameworks like Hugging Face Transformers and Accelerate.

To check the installed version of Falcon-Instruct (when used via Hugging Face Transformers and PEFT), use the following commands:

$ pip show transformers
$ pip show peft
$ pip show torch

Disclaimer: Falcon-Instruct is open-source software released under an Apache 2.0-style license. It is intended for research and development purposes. For accurate usage, updates, and limitations, refer to the official model repository. The maintainers are not liable for any misuse or unintended consequences. Use responsibly.