llama 2

Meta developed and released the Llama 2 family of large language models (LLMs), a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Its on par with some popular closed-source models like ChatGPT and PaLM.

This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters.

This repository is intended as a minimal example to load Llama 2 models and run inference.

example_text_completion.py for some examples. To illustrate, see the command below to run it with the llama-2-7b model (MP value):

Fine-tuned Chat Models 
			chat_completion needs to be followed, including the <> tags, EOS tokens, and the whitespaces and breaklines in between (we recommend calling  You can also deploy additional classifiers for filtering out inputs and outputs that are deemed unsafe. 

Github: https://github.com/facebookresearch/llama

These models are not finetuned for chat or Q&A. They should be prompted so that the expected answer is the natural continuation of the prompt.