LMFlow
Offers an inclusive toolbox for efficient finetuning of large-scale machine learning models, accessible to the community while supporting diverse optimizers, conversation templates such as Llama-3 and Phi-3, and advanced techniques like speculative decoding and LISA for memory-efficient training. Recognized with the Best Demo Paper Award at NAACL 2024, it provides essential tools for chatbot deployment and model evaluation, suited for professionals aiming to enhance and deploy large models effectively in an objective and unbiased manner.
