colibrì runs GLM-5.2 (744B MoE) on 25 GB RAM via int4 quantization, disk-streamed experts, and C-based zero-dependency engine, achieving lossless inference with speculative decoding and adaptive caching. It leverages AVX2, MTP heads, and batched expert reads, but requires NVMe SSDs and careful hardware management due to disk I/O and wear risks.