Update Llama 2 model info

README.md

@@ -25,17 +25,17 @@ ___
 ## Tools
 - **LangChain**: Framework for developing applications powered by language models
 - **C Transformers**: Python bindings for the Transformer models implemented in C/C++ using GGML library
-- **FAISS**: Library for efficient similarity search and clustering of dense vectors.
-- **Sentence-Transformers (all-MiniLM-L6-v2)**: Pre-trained transformer model for embedding text to a 384 dimensional dense vector space for tasks like clustering or semantic search.
-- **MPT-7B-Instruct (LLM)**: Open-source LLM designed for short-form instruction following. It is built by finetuning MPT-7B on a dataset derived from the Databricks Dolly-15k and the Anthropic Helpful and Harmless (HH-RLHF) datasets.
+- **FAISS**: Open-source library for efficient similarity search and clustering of dense vectors.
+- **Sentence-Transformers (all-MiniLM-L6-v2)**: Open-source pre-trained transformer model for embedding text to a 384-dimensional dense vector space for tasks like clustering or semantic search.
+- **Llama-2-7B-Chat**: Open-source fine-tuned Llama 2 model designed for chat dialogue. Leverages publicly available instruction datasets and over 1 million human annotations. 
 - **Poetry**: Tool for dependency management and Python packaging
 
 ___
 ## Files and Content
 - `/assets`: Images relevant to project
 - `/config`: Configuration files for LLM application
 - `/data`: Dataset used for this project (i.e., Manchester United FC 2022 Annual Report - 177-page PDF document)
-- `/models`: Binary file of GGML quantized LLM model (i.e., MPT-7B-Instruct) 
+- `/models`: Binary file of GGML quantized LLM model (i.e., Llama-2-7B-Chat) 
 - `/src`: Python codes of key components of LLM application, namely `llm.py`, `utils.py`, and `prompts.py`
 - `/vectorstore`: FAISS vector store for documents
 - `db_build.py`: Python script to ingest dataset and generate FAISS vector store
@@ -47,7 +47,7 @@ ___
 ## References
 - https://github.com/marella/ctransformers
 - https://huggingface.co/TheBloke
-- https://huggingface.co/TheBloke/MPT-7B-Instruct-GGML
+- https://huggingface.co/TheBloke/Llama-2-7B-Chat-GGML
 - https://python.langchain.com/en/latest/integrations/ctransformers.html
 - https://python.langchain.com/en/latest/modules/models/llms/integrations/ctransformers.html
 - https://python.langchain.com/docs/ecosystem/integrations/ctransformers