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Current status quo:
ET Website:
https://docs.pytorch.org/executorch/stable/llm/llama.html
https://docs.pytorch.org/executorch/stable/llm/llama-demo-android.html
https://docs.pytorch.org/executorch/stable/llm/llama-demo-ios.html
https://docs.pytorch.org/executorch/stable/llm/build-run-llama3-qualcomm-ai-engine-direct-backend.html
https://docs.pytorch.org/executorch/stable/llm/getting-started.html
ET Readmes:
LLama
Qwen
Phi-4
Llava
Proposal:
AOT flow:
- Documentation about export_llm
- For each models, how it is used in examples page.
Runtime flow:
- How to use C++, Swift and Java APIs in extensions/llm
- Building examples app, not only Llama but also other models like Qwen3, Phi4-mini.
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