llama-2-7b-chat_q4_quantized_cpp

• This model contains the 4-bit quantized version of llama2-7B-chat model in cpp.
• This can be run on a local cpu system as a cpp module (instructions for the same are given below).
• As for the testing, the model has been tested on Linux(Ubuntu) os with 12 GB RAM and core i5 processor.
• The performance is roughly ~3 tokens per second

Usage:

1. Clone the llama C++ repository from github:
   git clone https://github.com/ggerganov/llama.cpp.git
2. Enter the llama.cpp repository(which was downloaded in the step 1) and build it by running the make command
   cd llama.cpp
make
3. Create a directory names 7B under the directory llama.cpp/models and put the model file ggml-model-q4_0.bin under this newly created 7B directory
   cd models
mkdir 7B
4. Navigate back to llama.cpp directory and run the below command:-
   ./main -m ./models/7B/ggml-model-q4_0.bin -n 1024 --repeat_penalty 1.0 --color -i -r "User:" -f ./prompts/alpaca.txt
   

   the initial prompt file can be changed to anything from prompts/alpaca.txt to of your choice

5. That's it. Enter the desired prompts and let the results surprise you...

Credits:

1. https://github.com/facebookresearch/llama
2. https://github.com/ggerganov/llama.cpp
3. https://medium.com/@karankakwani/build-and-run-llama2-llm-locally-a3b393c1570e