AutoAWQ
OSSAutoAWQ is an open-source tool designed to simplify the quantization of AI models to 4-bit precision, reducing storage a...
Comparable Model Storage Optimisation AI agents, ranked by popularity. Not sold on GGML? These are the closest options worth a look.
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GGML is a tensor library designed for machine learning, with a focus on optimizing storage and enabling efficient inference of large language models (LLMs) on CPUs. It provides tools for quantizing and compressing models to reduce memory usage while maintaining performance.
AutoAWQ is an open-source tool designed to simplify the quantization of AI models to 4-bit precision, reducing storage a...
AutoGPTQ is a Python library that simplifies the quantization of large language models (LLMs) using the GPTQ algorithm, ...
AWQ (Activation-aware Weight Quantization) is a technique for compressing and accelerating large language models (LLMs) ...
neural-compressor is an open-source tool developed by Intel that applies model compression techniques like quantization,...
NNEF (Neural Network Exchange Format) is a standardized format for storing and exchanging neural network models across d...
ONNX (Open Neural Network Exchange) is an open standard for representing machine learning models, enabling seamless conv...
PFA (Portable Format for Analytics) is a JSON-based standard designed for representing and exchanging predictive models ...
PMML (Predictive Model Markup Language) is an XML-based standard for representing predictive models, enabling interopera...
Quanto is a tool designed to optimize the storage and deployment of deep learning models through quantization, reducing ...