There's a bunch of LLaMA instruction-tuned variants on huggingface and new ones are coming out every day. I personally had the best experience with GPT4-x-vicu

There's a bunch of LLaMA instruction-tuned variants on huggingface and new ones are coming out every day. I personally had the best experience with GPT4-x-vicuna: https://huggingface.co/NousResearch/gpt4-x-vicuna-13b https://huggingface.co/NousResearch/gpt4-x-vicuna-13b. There's more variants, and you can find information on them on https://www.reddit.com/r/LocalLLaMA https://www.reddit.com/r/LocalLLaMA. The best way for you to run the model is probably through https://github.com/ggerganov/llama.cpp https://github.com/ggerganov/llama.cpp. This is a plain C/C++ implementation that can run LLMs pretty efficiently. It can run the LLaMA 13B variants at a pretty quick pace (~100 ms/token) on my M1 Pro macbook. I'd be happy to answer more questions.