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This article introduces calibrated 2-bit GGUF quantizations of the Qwopus3.6-27B-Coder model for agentic coding tasks, demonstrating that the IQ2_M quant (9.74 GiB) achieves a 63% pass rate on the SWE-rebench benchmark, comparable to a Q5_K_M quant at half the size.