MODEL PROFILE

KAT-Coder-V2.5-Dev-REAP-50-NVFP4A16

Ttimms · KAT-Coder-V2.5-Dev-REAP-50-NVFP4A16

**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 generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 19:15:51
OVERVIEW

Model overview

**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.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。