# Low memory optimization

This is a quantized version of PinkPixel's Crystal-Think-V2 model, offering multiple quantization types to meet different hardware and performance requirements.

Quantize the Menlo/Jan - nano model based on llama.cpp, providing model files of various quantization types to meet different hardware and performance requirements.

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.

Kuvera-8B is an 8B parameter large language model focused on the fields of finance and personal finance, offering multiple quantization versions to meet different hardware requirements.

A quantized version of Tessa - Rust - T1 - 7B, quantized using the llama.cpp tool, supporting efficient operation under different hardware conditions.

ViCoder-HTML-32B-preview is a powerful AI model specifically designed for generating complete websites, including HTML, Tailwind CSS, and JavaScript code.

This is a 12B-parameter language model merged using the DARE TIES method, combining multiple pre-trained models to provide powerful text generation capabilities.

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.

StarCoder2-3B is a code generation model with 3 billion parameters. It is trained on data from 17 programming languages and can generate code snippets, but the results may not be completely accurate.