Update README.md

README.md

@@ -11,7 +11,7 @@ license: llama2
 
 # Llama-2 ONNX
 
-This repository contains optimized version of Llama-2 7B|13B.
+This repository contains optimized version of Llama-2 13B.
 
 ## Downloading the model
 
@@ -25,7 +25,7 @@ pip install -U huggingface_hub
 ```
 2. Download the repository.
 ```sh
-huggingface-cli download alpindale/Llama-2-7b-ONNX --repo-type model --cache-dir /path/to/custom/cache/directory --local-dir /path/to/download/dir --local-dir-use-symlinks False
+huggingface-cli download alpindale/Llama-2-13b-ONNX --repo-type model --cache-dir /path/to/custom/cache/directory --local-dir /path/to/download/dir --local-dir-use-symlinks False
 ```
 The `--cache-dir` kwarg is only necessary if your default cache directory (`~/.cache`) does not have enough disk space to accomodate the entire repository.
 
@@ -33,7 +33,7 @@ The `--cache-dir` kwarg is only necessary if your default cache directory (`~/.c
 The repository provides example code for running the models.
 
 ```sh
-python llama2_onnx_inference.py --onnx_file FP16/LlamaV2_7B_float16.onnx --embedding_file embeddings.pth --tokenizer_path tokenizer.model --prompt "What is the lightest element?"
+python llama2_onnx_inference.py --onnx_file FP16/LlamaV2_13B_float16.onnx --embedding_file embeddings.pth --tokenizer_path tokenizer.model --prompt "What is the lightest element?"
 ```
 
 Output:
@@ -49,6 +49,11 @@ First, install the required packages:
 pip install -r requirements.txt
 ```
 
+Set the Python path to the root directory of the repository (necessary for importing the required modules):
+```sh
+export PYTHONPATH=$PYTHONPATH:$(pwd)
+```
+
 Then you can simply run:
 
 ```sh