Update readme

examples/llava/README.md

@@ -14,12 +14,41 @@ After building, run: `./bin/llava` to see the usage. For example:
 ./bin/llava path/to/llava-v1.5-7b/ggml-model-q5_k.gguf path/to/llava-v1.5-7b/mmproj-model-f16.gguf path/to/an/image.jpg
 ```
 
+## Model conversion
+
+- Clone `llava-v15-7b`` and `clip-vit-large-patch14-336`` locally:
+
+```sh
+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:
+
+```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:
+
+```sh
+python ./examples/llava/convert_image_encoder_to_gguf -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:
+
+```sh
+python ./convert.py ../llava-v1.5-7b
+```
+
+Now both the LLaMA part and the image encoder is in the `llava-v1.5-7b` directory.
+
 ## TODO
 
 These will be include in this pr:
 
 - [ ] Better command line interface.
-- [ ] Document model conversion.
 
 These will be another PR: