Compact 500MB Model Achieves 262K Context Through Multi-Teacher Distillation from Opus 5.5, Fable 5.1, and Astra

Jackrong has released Qwopus 0.8B v3, a 500MB language model that distills reasoning capabilities from three frontier models—OpenAI's Astra, Anthropic's Fable 5.1, and Opus 5.5—into a compact form factor that runs on consumer hardware while maintaining a 262K token context window. The model uses multi-teacher knowledge distillation to consolidate complementary strengths across the three teacher models, a technique gaining momentum in the industry as post-training methodology for capability integration. Jackrong implemented the approach through iterative LoRA merging using Karpy to combine the teacher-specific adapters, then quantized the result to Unsloth's Q4_K_M format for distribution as a single GGUF file.