Qualcomm AI Engine Direct - Gemma4 Text model enablement (Unified Architecture)

[DannyYuyang-quic]

Summary

• Add Gemma4-E2B decoder to the static-llama flow: YOCO KV-sharing (self / donor / cross-decoder layers), per-layer embeddings (PLE).

Test plan

python examples/qualcomm/oss_scripts/llama/llama.py --build_folder build-android --device ${SERIAL_NUM} --soc_model ${SOC_MODEL} --temperature 0 --model_mode kv--max_seq_len 1024 --prefill_ar_len 128 --decoder_model gemma4-e2b --prompt "I would like to learn python, could you teach me with a simple example?" --calib_tasks wikitext --calib_limit 1 --embedding-quantize '4,32'

[pytorch-bot]

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⚠️ 16 Awaiting Approval

As of commit c998d13 with merge base 5bfbe1d ():

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