Gemma4-E2B-Dflash2-Android / quantization.json
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Publish Gemma E2B BF16, Q4 GGUF and RaInfer NPU DFlash2 assets
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{
"base_model": "google/gemma-4-E2B-it",
"base_revision": "3e22461f65e89153144f8adb70e3b8c2cc9845a7",
"engine_git": "https://github.com/pytorch/executorch",
"engine_revision": "ca56e1ffdba1c902d9202021d7297982d3501439",
"qnn_sdk": "2.37.0.250724",
"target_soc": "SM8450",
"hexagon_arch": "v69",
"context": 2048,
"quantization": "mixed W4 block32 FFN gate/up/down; all other decoder projections W8 per-channel; final 8 cross-decoder FFN down projections restored to W8; A16; KV16; A16 x W8 attention boundary; Q4 group32 portable embeddings",
"weight_bits": 4,
"weight_granularity": "block",
"block_size": 32,
"w4_ffn_only": true,
"w4_ffn_down": true,
"w8_ffn_down_tail": 8,
"compiled_shards": 11,
"qnn_delegate_count": 12,
"largest_delegate_bytes": 504553728,
"source_calibration_context": 2048,
"position_table_audit": true,
"model_name": "Gemma4-E2B-Dflash2-Android",
"original_baseline_pte_sha256": "38faf5d2337d9fb2b75b2ddca0fb3c63d916b2795c55bff6a1b6b92c027e8c7b",
"original_baseline_pte_bytes": 3361616512,
"original_baseline_pte_name": "gemma4-e2b-v69-mixed4b32-ffn-all-tail8w8-kv16-quality-2k-shard11.pte",
"dflash2_target": {
"name": "gemma4-e2b-dflash2-verify-2k.pte",
"bytes": 3361310336,
"sha256": "c05fe24cb87fe20f3c2fdf3bb942755486f4c34785ad4d28a5b5546a7378983b",
"features": [
3,
13,
23,
33
],
"verification_width": 4,
"target_weights_changed_for_feature_export": false,
"context_loading_order": "Head context loaded first; execution order unchanged"
},
"vision_target": {
"name": "gemma4-e2b-dflash2-vision-verify-2k.pte",
"sha256": "6475a64ba4c82a85dd635bde40cc51ece8effe47366565a1c6e58d48862cdbba",
"source_sha256": "c05fe24cb87fe20f3c2fdf3bb942755486f4c34785ad4d28a5b5546a7378983b",
"weights_and_QNN_contexts_unchanged": true,
"modification": "Portable embedding operator descriptor alias only",
"device_validated": true
}
}