model-quantization

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Actualizado2 de abril de 2026 a las 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.""

Instalación

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Fuente

AlexiosBluffMara

AlexiosBluffMara/Duchess

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Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Científicos de datosOcupaciones informáticas y matemáticas·SOC 15-2051

SKILL.md

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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.""

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