diff --git a/README.md b/README.md
index ace5886..b09498b 100644
--- a/README.md
+++ b/README.md
@@ -29,6 +29,7 @@ Inference of [LLaMA](https://arxiv.org/abs/2302.13971) model in pure C/C++
Quantization
Interactive mode
Instruction mode with Alpaca
+ Using OpenLLaMA
Using GPT4All
Using Pygmalion 7B & Metharme 7B
Obtaining the Facebook LLaMA original model and Stanford Alpaca model data
@@ -543,6 +544,13 @@ cadaver, cauliflower, cabbage (vegetable), catalpa (tree) and Cailleach.
>
```
+### Using [OpenLLaMA](https://github.com/openlm-research/open_llama)
+
+OpenLLaMA is an openly licensed reproduction of Meta's original LLaMA model. It uses the same architecture and is a drop-in replacement for the original LLaMA weights.
+
+- Download the [3B](https://huggingface.co/openlm-research/open_llama_3b), [7B](https://huggingface.co/openlm-research/open_llama_7b), or [13B](https://huggingface.co/openlm-research/open_llama_13b) model from Hugging Face.
+- Convert the model to ggml FP16 format using `python convert.py `
+
### Using [GPT4All](https://github.com/nomic-ai/gpt4all)
- Obtain the `tokenizer.model` file from LLaMA model and put it to `models`