# Efficient quantitative reasoning

Blitzar-Coder-4B-F.1 is an efficient multilingual coding model fine-tuned based on Qwen3-4B, supporting more than 10 programming languages and having excellent code generation, debugging, and reasoning capabilities.

A NEO Imatrix quantized version based on the Qwen3-8B model, supporting 32K long context and enhanced reasoning ability

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.

This is the Llama.cpp imatrix quantization version of the NTQAI/Nxcode-CQ-7B-orpo model, providing files of various quantization types to meet the needs of different scenarios.