# Multi-hardware adaptation

A quantized version of the Austral-24B-Winton model of Delta-Vector, quantized using the llama.cpp tool, suitable for efficient operation on different hardware configurations.

This is the quantization version of BAAI's RoboBrain2.0-7B model, which is quantized through llama.cpp and provides various quantization types to meet different hardware requirements.

StrawberryLemonade-L3-70B-v1.0 is a quantized large language model designed to run efficiently under different hardware conditions.

This is the Llamacpp imatrix quantized version of the zeta model from zed-industries, which solves the problem of efficiently running the model under different hardware conditions and provides multiple quantization types for users to choose from.

The quantized version of Virtuoso-Lite, quantized using llama.cpp to improve the running efficiency on different hardware.