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AI Model2026
Capability-targeted compression of Qwen3.8-Flash-Next: half the experts are removed and remaining weights quantized to 3.5 bpw, producing a 58.4 GB GGUF (29.6 GB resident) that preserves coding and multimodal ability while trading off other domains.
AI Model2026
Performs a byte-level transplant of 144 tensors in an already-quantized GSQ-RCO Qwen3.8-Flash-Next to ablate the model's refusal direction while preserving GSQ-learned scales and the upstream per-tensor type assignment; multimodal, 262K context. Intended for local inference, red-teaming and quantization research; no retraining or built-in safety.