A compact, instruction-tuned text model that trades raw capacity for efficiency through FP8 KV quantization, reducing memory footprint while preserving much of the original model's conversational ability. It handles everyday language tasks — answering questions, drafting text, following instructions — with reasonable fluency for its size. The quantization means some precision is sacrificed compared to full-precision variants, which can surface in nuanced or complex reasoning tasks.