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Paddock 0.1.7

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@panterlo panterlo released this 16 Sep 17:15

Paddock 0.1.7, built from 98e6703f on the maintainers' machines (Windows natively, Linux x64 in a Docker builder, the DGX Spark natively on a Spark), each archive booted on a GPU and asked a question before it was uploaded.

Requirements

  • An NVIDIA card the kernel pack covers - x64: RTX 30/40/50 series, the RTX A / PRO line, B200; aarch64: the DGX Spark (GB10). Other cards get an honest refusal, never a slow fallback. This build: linked in (sm_86 sm_89 sm_100 sm_100a sm_120 sm_120a), nvcc 13.3.73.
  • A driver from the r580 branch or newer. No CUDA toolkit: the kernels and the runtime are inside paddock-runner.
  • Windows 11 x64; Linux x64 with glibc 2.35 or newer (Ubuntu 22.04+, Debian 12+); or a DGX Spark on DGX OS 7 (Ubuntu 24.04, glibc 2.39).

Run

  • Unzip or untar anywhere. paddock starts the manager and the Studio on http://localhost:11500. paddock-runner --model <file.gguf> serves a bare OpenAI/Anthropic-compatible endpoint. README.txt inside says the rest.

sha256

f2edd3375864776c1fff1f14e487294fe9ec0da3c293bf4287fb5c84e468c292  paddock-0.1.7-x86_64-windows.zip
73b18b7db01e7420d8117e3f1825d7367809a2058b5c462f1609aece9698bdaa  paddock-0.1.7-x86_64-linux.tar.gz
92b22246c9e64bea9d18658348f88ceaab818e3906aaf4cf14088563795e7b0e  paddock-0.1.7-aarch64-linux.tar.gz