llama : move end-user examples to tools directory (#13249)

* llama : move end-user examples to tools directory

---------

Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
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Diego Devesa 2025-05-02 20:27:13 +02:00 committed by GitHub
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213 changed files with 226 additions and 190 deletions

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@ -33,13 +33,13 @@ 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 path/to/MobileVLM-1.7B
python ./tools/llava/llava_surgery.py -m path/to/MobileVLM-1.7B
```
3. Use `convert_image_encoder_to_gguf.py` with `--projector-type ldp` (for **V2** please use `--projector-type ldpv2`) to convert the LLaVA image encoder to GGUF:
```sh
python ./examples/llava/convert_image_encoder_to_gguf.py \
python ./tools/llava/convert_image_encoder_to_gguf.py \
-m path/to/clip-vit-large-patch14-336 \
--llava-projector path/to/MobileVLM-1.7B/llava.projector \
--output-dir path/to/MobileVLM-1.7B \
@ -47,7 +47,7 @@ python ./examples/llava/convert_image_encoder_to_gguf.py \
```
```sh
python ./examples/llava/convert_image_encoder_to_gguf.py \
python ./tools/llava/convert_image_encoder_to_gguf.py \
-m path/to/clip-vit-large-patch14-336 \
--llava-projector path/to/MobileVLM-1.7B_V2/llava.projector \
--output-dir path/to/MobileVLM-1.7B_V2 \
@ -69,10 +69,10 @@ Now both the LLaMA part and the image encoder is in the `MobileVLM-1.7B` directo
## Android compile and run
### compile
refer to `examples/llava/android/build_64.sh`
refer to `tools/llava/android/build_64.sh`
```sh
mkdir examples/llava/android/build_64
cd examples/llava/android/build_64
mkdir tools/llava/android/build_64
cd tools/llava/android/build_64
../build_64.sh
```
### run on Android