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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,

Free Download Wise Memory Optimizer 4.2.2.128 Latest Offline Installer - Easily defrag memory and free up memory with one-click.Free Download Wise Memory Optimizer latest version standalone offline installer for Windows. It is used to defrag memory and easily free up memory with one click.Overview of Wise Memory OptimizerThis program helps you free up and tune up the physical memory taken up by some useless applications to enhance PC performance.It can execute its tasks following your settings and the physical truth of your computer. It is straightforward to use for both novices and experts alike. It helps you free up and tune up the physical memory taken up by some useless applications to boost PC performance.Moreover, you can enable automatic optimization mode when the free PC memory goes below a value you can specify and make it run even when the CPU is idle. Adjust the amount of memory you want to free up.Features of Wise Memory OptimizerFree Up And Tune Up Memory Taken Up By Useless ApplicationsAutomatic Tune-up and Optimization of RAMLow CPU UsagePerfectly Compatible with Almost All Windows VersionsTechnical Details and System RequirementsSupported OS: Windows 11, Windows 10, Windows 8.1, Windows 7RAM (Memory): 2 GB RAM (4 GB recommended)Free Hard Disk Space: 200 MB or moreComments

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