diff --git a/examples/llava/README.md b/examples/llava/README.md
index 721d5e613..19f1a50a2 100644
--- a/examples/llava/README.md
+++ b/examples/llava/README.md
@@ -29,19 +29,25 @@ git clone https://huggingface.co/liuhaotian/llava-v1.5-7b
 git clone https://huggingface.co/openai/clip-vit-large-patch14-336
 ```
 
-2. Use `llava-surgery.py` to split the LLaVA model to LLaMA and multimodel projector constituents:
+2. Install the required Python packages:
+
+```sh
+pip install -r examples/llava/requirements.txt
+```
+
+3. Use `llava-surgery.py` to split the LLaVA model to LLaMA and multimodel projector constituents:
 
 ```sh
 python ./examples/llava/llava-surgery.py -m ../llava-v1.5-7b
 ```
 
-3. Use `convert-image-encoder-to-gguf.py` to convert the LLaVA image encoder to GGUF:
+4. Use `convert-image-encoder-to-gguf.py` to convert the LLaVA image encoder to GGUF:
 
 ```sh
 python ./examples/llava/convert-image-encoder-to-gguf.py -m ../clip-vit-large-patch14-336 --llava-projector ../llava-v1.5-7b/llava.projector --output-dir ../llava-v1.5-7b
 ```
 
-4. Use `convert.py` to convert the LLaMA part of LLaVA to GGUF:
+5. Use `convert.py` to convert the LLaMA part of LLaVA to GGUF:
 
 ```sh
 python ./convert.py ../llava-v1.5-7b
diff --git a/examples/llava/llava-surgery.py b/examples/llava/llava-surgery.py
index 515f6b58d..0a61efdfe 100644
--- a/examples/llava/llava-surgery.py
+++ b/examples/llava/llava-surgery.py
@@ -42,5 +42,5 @@ if len(clip_tensors) > 0:
 torch.save(checkpoint, path)
 
 print("Done!")
-print(f"Now you can convert {args.model} to a a regular LLaMA GGUF file.")
+print(f"Now you can convert {args.model} to a regular LLaMA GGUF file.")
 print(f"Also, use {args.model}/llava.projector to prepare a llava-encoder.gguf file.")
diff --git a/examples/llava/requirements.txt b/examples/llava/requirements.txt
new file mode 100644
index 000000000..f80f727a7
--- /dev/null
+++ b/examples/llava/requirements.txt
@@ -0,0 +1,3 @@
+-r ../../requirements/requirements-convert.txt
+pillow~=10.2.0
+torch~=2.1.1