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Paddock 0.1.10

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@panterlo panterlo released this 25 Sep 18:35
v0.1.10
610cd8f

A feature release: Laya, an open model built only to answer questions about
a text, a much richer Reads page, image input for DiffusionGemma's reads, and
faster Qwen 3.8 Flash-Next. Windows x64, Linux x64 and the NVIDIA DGX Spark.
NVIDIA GPUs, driver 580 or newer. The macOS pre-release for Apple Silicon is
built from the same commit.

New

  • Laya, a decision model. Laya (ConvAI Innovations, Apache 2.0) answers
    yes/no, multiple-choice and scored questions about a text with a calibrated
    probability each, in one pass per question and without writing any text -
    a few milliseconds a question. It serves the same POST /v1/systemone as
    DiffusionGemma, so the Reads page works with it unchanged. The download
    (2.4 GB) holds an English model, a multilingual one for 100+ languages and
    a typed-decisions one; Paddock picks between the first two from the text
    itself, as Laya's own server does. A text longer than one question's window
    is read in overlapping windows instead of being cut.

  • Images in reads. DiffusionGemma reads a question set over pictures as
    well as text, with its own vision companion (1.2 GB) built from Google's
    checkpoint. Attach pictures on the Reads page by button, drop or paste.

  • Conditional questions. A question can be asked only when an earlier
    answer is one of the values you pick, or read with an earlier question's
    answer already known. A question that is skipped answers null and says
    why.

  • More ways to read. Several denoising steps with the answer template
    held in place, a thought written before the answers, and repeated reads
    that report how much the answer moves between them.

Improved

  • The Reads page keeps its history in a side panel beside the questions,
    stored by the manager like conversations, and stays in the sidebar with no
    model running so earlier reads open any time.

  • DiffusionGemma's compact build starts on NVIDIA GPUs.

  • Qwen 3.8 Flash-Next decodes faster, with and without speculative
    decoding, and requests that carry tools now speculate too.

  • Paddock's own app icon in the Studio, the Windows executables and the
    menu bar.

Fixed

  • Flash-Next greedy decoding with speculation no longer drifts from the
    answer it gives without speculation on a small share of requests.

  • The Studio over the network opens at the key prompt again instead of
    reporting that it could not open its saved data.

macOS (pre-release)

  • DiffusionGemma reads images on Metal.
  • The native Reads page takes pictures by paste and import, keeps its history
    in the shared database the web Studio uses, and navigates it from the
    sidebar.
  • Fixes to notification previews and benchmark forms.

Known

  • Laya runs on NVIDIA GPUs only for now, and reads text only.

  • Laya's confidence on choices with more than ten options is not
    calibrated:     the English checkpoint ships an out-of-range temperature for
    that case, which Paddock clamps, as Laya's own server does.

  • Switching Vision off does not unload the image tower when its file sits
    beside the model: the model still answers images, and the memory estimate
    does not count the tower (about 0.9 GB).

  • On-demand loading covers Whisper only.

  • The fp8 KV cache's paged attention on RTX 50-series cards shows a small
    numeric deviation in one split configuration (#5).

Paddock 0.1.10, built from 610cd8f5 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: sm_86 sm_89 sm_100 sm_100a sm_120 sm_120a.
  • 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

3a0949a92bab20c15f37c8a5c29b1f8d80ecbeda23111f90ac4c4fa65208f97d  paddock-0.1.10-x86_64-windows.zip
ca0cdce0c59520eb3a4f9e5930144222d9ad8a630f9909676d2bfb83ba90873b  paddock-0.1.10-x86_64-linux.tar.gz
9f50baf2c14b22df39cd970792f02218eb92679f4c1dea98815d2168c3a2ab99  paddock-0.1.10-aarch64-linux.tar.gz
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