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TText generation▧Image generation▷Video generation⌘Code generation◖Speech synthesis♫Music generation⬡3D modeling▤Document analysis
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**REAP expert-pruned (50%) + NVFP4A16 quantized build of `Kwaipilot/KAT-Coder-V2.5-Dev` (69.40 SWE-bench Verified claimed), sized and served to run as a local agentic coding model inside 16 GB of consumer VRAM** — 12.45 GiB, RTX 5070 Ti (SM120), vLLM. Built with a router-renormalization fix for this architecture (contributed upstream) and a vision tower stripped of its untrained weights. **Methodology** — how this and the sibling 16 GB builds are pruned, quantized, and evaluated (with the failure modes): **SWE-bench Verified: 26/50 = 52.0% resolved**, via `mini-swe-agent`'s official bash-only scaffold, at a 49K-token context ceiling — up from 40.0% at the original 32K ceiling tested on this same checkpoint. Still below the 56.4% bar set by Devstral Small (2512) under the same scaffold, but closed most of the gap. 17 of 50 instances produced no usable patch, all from hitting the context ceiling; the run must still be read as context-limited, not as an unconditional capability measurement. See "SWE-bench Verified" below before citing the headline number without that context.

Text generation
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