Gpt4all: A chatbot trained on ~800k GPT-3.5-Turbo Generations based on LLaMa
Having spent quite a bit of time playing around with llama.cpp, alpaca.cpp, loras, and the many other llama-based weights lately, here is my impression:<p>The biggest deal with this isn't the published lora adapter (which seems limited to llama 7b), but the cleaned training data, which is likely better than the previous data sets used to train the alpaca-inspired loras that have been publicly released so far. [0]<p>If you're really limited to running "just" llama 7b, this is great for you. But the biggest value will be when people inevitably release lora adapters for the 13b, 30b, and 65b, based on this training data (assuming it really is better than the previously released adapters).<p>[0] admittedly, this is based off anecdotes and github issues, and not real measurements. but smarter people than I have claimed the currently most popular loras were trained on messy data, and have started an effort to clean that data and retrain. So if the training data in this repo is high quality like the authors claim, it will benefit models of all sizes.