Skip to content

Docs for lower smaller models to mps/coreml/qnn #3146

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wants to merge 3 commits into from
Closed

Docs for lower smaller models to mps/coreml/qnn #3146

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
696faf3
Docs for lower smaller models to mps/coreml/qnn
cccclai Apr 19, 2024
691bc59
Update on "Docs for lower smaller models to mps/coreml/qnn"
cccclai Apr 19, 2024
736b813
Update on "Docs for lower smaller models to mps/coreml/qnn"
cccclai Apr 19, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
10 changes: 10 additions & 0 deletions examples/models/llama2/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -260,6 +260,16 @@ Please refer to [this tutorial](https://pytorch.org/executorch/main/llm/llama-de
### Android
Please refer to [this tutorial](https://pytorch.org/executorch/main/llm/llama-demo-android.html) to for full instructions on building the Android LLAMA Demo App.

## Optional: Smaller models delegated to other backends
Currently we supported lowering the stories model to other backends, including, CoreML, MPS and QNN. Please refer to the instruction
for each backend ([CoreML](https://pytorch.org/executorch/main/build-run-coreml.html), [MPS](https://pytorch.org/executorch/main/build-run-mps.html), [QNN](https://pytorch.org/executorch/main/build-run-qualcomm.html)) before trying to lower them. After the backend library is installed, the script to export a lowered model is

- Lower to CoreML: `python -m examples.models.llama2.export_llama -kv --coreml -c stories110M.pt -p params.json`
- MPS: `python -m examples.models.llama2.export_llama -kv --mps -c stories110M.pt -p params.json`
- QNN: `python -m examples.models.llama2.export_llama -kv --qnn -c stories110M.pt -p params.json`

The iOS LLAMA app supports the CoreML and MPS model and the Android LLAMA app supports the QNN model. On Android, it also allow to cross compiler the llama runner binary, push to the device and run.

# What is coming next?
## Quantization
- Enabling FP16 model to leverage smaller groupsize for 4-bit quantization.
Expand Down
Loading