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model-quantization

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UpdatedApril 2, 2026 at 21:12

""Quantize and optimize ML models for edge deployment across all four tiers. Use when: converting models to LiteRT, ONNX export, INT8/FP16 quantization, GGUF conversion, MLX format, BitNet 1-bit quantization, model size reduction, inference optimization, Adreno GPU delegate, NNAPI configuration, profiling model performance on target hardware.""

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name	model-quantization
description
Quantize and optimize ML models for edge deployment across all four tiers. Use when	converting models to LiteRT, ONNX export, INT8/FP16 quantization, GGUF conversion, MLX format, BitNet 1-bit quantization, model size reduction, inference optimization, Adreno GPU delegate, NNAPI configuration, profiling model performance on target hardware.""

model-quantization

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