Calibrating 2-bit GGUFs (<10Gb) for agentic coding tasks

The article announces the release of three 2-bit quantized models (IQ2_XS, IQ2_M, Q2_K_S) of the Qwopus3.6-27B-Coder, optimized for agentic coding tasks, achieving over 60% pass rates on the SWE-rebench benchmark. The IQ2_M model, at 9.7 GiB, attained a 63% pass rate, comparable to larger models while providing a 1.26× speedup in decoding. This development is significant for practitioners as it demonstrates effective model compression techniques that maintain performance, facilitating faster and more efficient deployment in coding applications.