human
Summarize the following text in 4 bulletpoints.
Alpaca builds on Meta's LLaMA with the sole goal of enabling LLMs to be more cheaply accessible. Based on prior studies and benchmarks done by Stanford University's Center for Research. The Alpaca model can be retrained for as low as $600, which is cheap, given the benefits derived.

They are also two additional Alpaca variants models Alpaca.cpp and Alpaca-LoRA. Using the cpp variant, you can run a Fast ChatGPT-like model locally on your laptop using an M2 Macbook Air with 4GB of weights, which most laptops today should be able to handle. CPP variant combines Facebook's LLaMA, Stanford Alpaca, alpaca-Lora, and the corresponding weights. you can find data on how fine-tuning was done here.
gpt
--- Reasoning ---
1. Is the question multiple-choice question?
No
2. Is it implied multiple-choice question?
No
3. If two experts were independently asked the question, will the final answer be exactly the same?
No

--- Answer ---
open