# Multi-level quantization adaptation

This is a quantized version of a large language model with 70B parameters, offering multiple quantization levels to meet different hardware requirements

Multiple quantized versions of the Qwen3-14B-ft-limo model, generated using the imatrix option of llama.cpp, suitable for different performance and storage requirements

A 32B-parameter quantized large language model based on ArliAI/QwQ-32B-ArliAI-RpR-v4, quantized with llama.cpp at various precisions, suitable for text generation tasks.

Tessa-T1-3B is a 3B-parameter large language model based on the Qwen2 architecture, offering multiple quantization versions to accommodate different hardware requirements.