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Page: ... 1 2 3 ... Next » (3 pages) Displayed: 1 - 25 of 72 Sort by: relevance | title | downloads | rating | date Show: All Software | Only Freeware Wise Memory Optimizer 4.2.2.128 download by WiseCleaner Wise Memory Optimizer, developed by WiseCleaner, is a streamlined and efficient ... complex configurations. At its core, Wise Memory Optimizer focuses on freeing up and defragmenting the physical ... One of the key features of Wise Memory Optimizer is its real-time monitoring capability. The software provides ... type: Freeware categories: Wise Memory Optimizer, WiseCleaner, optimizer, RAM management, optimize memory, cleaner, computer speed, system performance, boost, free software, download Wise Memory Optimizer, memory optimization, clean, Wise Memory Optimizer free download, free up mem View Details Download Wise Memory Optimizer 4.2.0 download by WiseCleaner.com Wise Memory Optimizer helps you free up and tune up the ... useless applications to enhance PC performance. Wise Memory Optimizer, as automatic and intelligent as other products from WiseCleaner.com, can ... type: Freeware categories: freeware, memory optimizer, optimize memory, memory tuneup, Wise, free, best, practical, WiseCleaner, free up memory, memory freeup tool View Details Download Portable Wise Memory Optimizer 4.2.2.128 download by WiseCleaner Portable Wise Memory Optimizer, developed by WiseCleaner, is a lightweight and efficient ... The primary function of Portable Wise Memory Optimizer is to free up and defragment system memory, ... performance at all times. Portable Wise Memory Optimizer also includes an automatic optimization feature, which can ... type: Freeware categories: WiseCleaner, Clean, Optimize Memory, Download Wise Memory Optimizer for Windows - Free - 4. Wise Memory Optimizer for Windows 4. Download Make lagging a thing of the past 1/2 Wise Memory Optimizer is a Low-bit OptimizersOffical implementation of the paper: Memory Efficient Optimizers with 4-bit States.Optimizer states are a major source of memory consumption for training neural networks, limiting the maximum trainable model within given memory budget. Compressing the optimizer states from 32-bit floating points to lower bitwidth is promising to reduce the training memory footprint, while the current lowest achievable bitwidth is 8-bit. In this work, we push optimizer states bitwidth down to 4-bit through a detailed empirical analysis of first and second order momentums. Specifically, we find that momentums have complicated outlier patterns, that current block-wise quantization cannot accurately approximate. We use a smaller block size and propose to utilize both row-wise and column-wise information for better quantization. We further identify a zero point problem of quantizing the second-order momentum, and solve this problem with a linear quantizer that excludes the zero point. Our 4-bit optimizer is evaluated on a wide variety of benchmarks including natural language understanding, machine translation, image classification, and instruction tuning. On all the tasks our optimizers can achieve comparable accuracy with their full-precision counterparts, while enjoying better memory efficiency.InstallationRequirementsPython >= 3.7 + CUDA >= 11.0 + torch >= 1.13.0.To install run:git clone install -v -e .UsageUsing 4-bit OptimizersTo get started with 4-bit optimizers, simply replace your existing optimizer with one of our 4-bit optimizers: 4-bit AdamW, 4-bit Factor, or 4-bit AdamW (fused).import lpmm# Comment out or remove the old optimizer# optimizer = torch.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999))# Use 4-bit AdamWoptimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999))# Or, use 4-bit Factoroptimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999), factor_second_moment=True)# Or, use 4-bit AdamW (fused)optimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999), fused=True)Currently, the supported optimizers are Adam (AdamW) and SGD.Modifying Quantization HyperparametersTo modify the quantization configuration (e.g., normalization function, quantization map, bits, etc.) of non-fused optimizers, create a new configuration file and pass its file path to the optimizer using the qconfig argument. Example configurations can be found in the lpmm/configs directory.By default, the quantization configuration for non-fused optimizers is specified in lpmm/configs/default.yml, while for fused optimizers, it is specified in lpmm/configs/2nd_moment_group_128.yml. The configuration for fused optimizers is currently fixed and cannot be changed.To

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Page: ... 1 2 3 ... Next » (3 pages) Displayed: 1 - 25 of 72 Sort by: relevance | title | downloads | rating | date Show: All Software | Only Freeware Wise Memory Optimizer 4.2.2.128 download by WiseCleaner Wise Memory Optimizer, developed by WiseCleaner, is a streamlined and efficient ... complex configurations. At its core, Wise Memory Optimizer focuses on freeing up and defragmenting the physical ... One of the key features of Wise Memory Optimizer is its real-time monitoring capability. The software provides ... type: Freeware categories: Wise Memory Optimizer, WiseCleaner, optimizer, RAM management, optimize memory, cleaner, computer speed, system performance, boost, free software, download Wise Memory Optimizer, memory optimization, clean, Wise Memory Optimizer free download, free up mem View Details Download Wise Memory Optimizer 4.2.0 download by WiseCleaner.com Wise Memory Optimizer helps you free up and tune up the ... useless applications to enhance PC performance. Wise Memory Optimizer, as automatic and intelligent as other products from WiseCleaner.com, can ... type: Freeware categories: freeware, memory optimizer, optimize memory, memory tuneup, Wise, free, best, practical, WiseCleaner, free up memory, memory freeup tool View Details Download Portable Wise Memory Optimizer 4.2.2.128 download by WiseCleaner Portable Wise Memory Optimizer, developed by WiseCleaner, is a lightweight and efficient ... The primary function of Portable Wise Memory Optimizer is to free up and defragment system memory, ... performance at all times. Portable Wise Memory Optimizer also includes an automatic optimization feature, which can ... type: Freeware categories: WiseCleaner, Clean, Optimize Memory,

2025-04-14
User2058

Low-bit OptimizersOffical implementation of the paper: Memory Efficient Optimizers with 4-bit States.Optimizer states are a major source of memory consumption for training neural networks, limiting the maximum trainable model within given memory budget. Compressing the optimizer states from 32-bit floating points to lower bitwidth is promising to reduce the training memory footprint, while the current lowest achievable bitwidth is 8-bit. In this work, we push optimizer states bitwidth down to 4-bit through a detailed empirical analysis of first and second order momentums. Specifically, we find that momentums have complicated outlier patterns, that current block-wise quantization cannot accurately approximate. We use a smaller block size and propose to utilize both row-wise and column-wise information for better quantization. We further identify a zero point problem of quantizing the second-order momentum, and solve this problem with a linear quantizer that excludes the zero point. Our 4-bit optimizer is evaluated on a wide variety of benchmarks including natural language understanding, machine translation, image classification, and instruction tuning. On all the tasks our optimizers can achieve comparable accuracy with their full-precision counterparts, while enjoying better memory efficiency.InstallationRequirementsPython >= 3.7 + CUDA >= 11.0 + torch >= 1.13.0.To install run:git clone install -v -e .UsageUsing 4-bit OptimizersTo get started with 4-bit optimizers, simply replace your existing optimizer with one of our 4-bit optimizers: 4-bit AdamW, 4-bit Factor, or 4-bit AdamW (fused).import lpmm# Comment out or remove the old optimizer# optimizer = torch.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999))# Use 4-bit AdamWoptimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999))# Or, use 4-bit Factoroptimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999), factor_second_moment=True)# Or, use 4-bit AdamW (fused)optimizer = lpmm.optim.AdamW(model.parameters(), lr=1e-3, betas=(0.9, 0.999), fused=True)Currently, the supported optimizers are Adam (AdamW) and SGD.Modifying Quantization HyperparametersTo modify the quantization configuration (e.g., normalization function, quantization map, bits, etc.) of non-fused optimizers, create a new configuration file and pass its file path to the optimizer using the qconfig argument. Example configurations can be found in the lpmm/configs directory.By default, the quantization configuration for non-fused optimizers is specified in lpmm/configs/default.yml, while for fused optimizers, it is specified in lpmm/configs/2nd_moment_group_128.yml. The configuration for fused optimizers is currently fixed and cannot be changed.To

2025-04-05
User4699

Windows Utilidades Wise Memory Optimizer 4.2.1 Wise Memory Optimizer4.2.1 Optimizador de memoria Wisees una herramienta poderosa diseñada para mejorar el rendimiento de su computadora optimizando el uso de la memoria. Con su interfaz intuitiva y algoritmos eficientes, Wise Memory Optimizer permite a los usuarios liberar memoria del sistema valiosa con solo unos pocos clics.Este software identifica y elimina inteligentemente los procesos y aplicaciones de fondo innecesarios que consumen recursos de memoria, mejorando así la capacidad de respuesta del sistema y la velocidad en general. Tanto si eres un usuario casual como un profesional experimentado, Wise Memory Optimizer ofrece una experiencia fácil de usar adaptada a tus necesidades.Una de las características destacadas de Wise Memory Optimizer es su capacidad para optimizar automáticamente el uso de la memoria en tiempo real, asegurando que su computadora opere a niveles de rendimiento máximos de manera constante. Además, el software proporciona información detallada sobre las estadísticas de uso de la memoria, lo que permite a los usuarios tomar decisiones informadas sobre la optimización del sistema.Wise Memory Optimizer no solo es fácil de usar sino también altamente eficiente, convirtiéndolo en una herramienta indispensable para cualquiera que busque optimizar el rendimiento de su computadora. Dí adiós al rendimiento lento y dale la bienvenida a una experiencia informática más fluida con Wise Memory Optimizer.Características Clave:Optimización AutomáticaLibera automáticamente la memoria para prevenir ralentizaciones.Optimización con un clicOptimiza la memoria fácilmente con solo un clic.Monitoreo en tiempo realHaz un seguimiento del uso de memoria en tiempo real.Configuraciones personalizablesAjusta la configuración de optimización a tu gusto.Seguro y ConfiableOptimiza la memoria sin poner en riesgo la estabilidad del sistema.LigeroSe ejecuta en segundo plano sin ralentizar tu computadora.Interfaz fácil de usarInterfaz fácil de usar para todos los usuarios.CompatibilidadFunciona con varias versiones de Windows.Actualizaciones regularesAsegura que tengas las últimas características y mejoras. Programa disponible en otros idiomas Download Wise Memory Optimizer Télécharger Wise Memory Optimizer Herunterladen Wise Memory Optimizer Scaricare Wise Memory Optimizer ダウンロード Wise Memory Optimizer Baixar Wise Memory Optimizer Reseñas de usuarios Calificación del usuario 5/51 Licencia: Gratis Requisitos: Windows 7 / Windows 8 / Windows 10/ Windows 11 Idiomas: Multi-languages Tamaño: 5.43 MB Editor: WiseCleaner Actualizado: Mar 28, 2024 Limpio Informa del software Niveles de seguridad Para evitar cualquier daño potencial a su dispositivo y garantizar la seguridad de sus datos y privacidad, nuestro equipo verifica cada vez que se sube un nuevo archivo de instalación a nuestros servidores o se vincula

2025-04-10

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