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Bud Decision Studio v0.1.0

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@github-actions github-actions released this 30 Sep 16:05
v0.1.0
b5c395b

The first release of Bud Decision Studio: run open decision models (Jev-like "System One" models) on your own computer. Give a model a situation and a few questions; get a calibrated probability for every answer, in milliseconds.

Install

Easiest: one command, and the app opens when it is done.

  • macOS (Apple Silicon) and Linux: curl -fsSL https://raw.githubusercontent.com/BudEcosystem/Bud-Decision-Engine/main/get.sh | sh
  • Windows (PowerShell): irm https://raw.githubusercontent.com/BudEcosystem/Bud-Decision-Engine/main/get.ps1 | iex

Or pick your download below:

Your computer File
Mac with Apple Silicon (M1 or newer) Bud.Decision.Studio_0.1.0_aarch64.dmg
Windows 10 or 11 Bud.Decision.Studio_0.1.0_x64-setup.exe (or the .msi)
Ubuntu or Debian, Intel or AMD Bud.Decision.Studio_0.1.0_amd64.deb
Ubuntu or Debian on ARM64, including NVIDIA GB10 / DGX Spark Bud.Decision.Studio_0.1.0_arm64.deb
Fedora or openSUSE …x86_64.rpm or …aarch64.rpm
Any other Linux the .AppImage for your processor

The first launch checks your hardware, asks whether models should run on the GPU or the processor, and installs the matching engine (PyTorch for CUDA, Apple Metal, Intel XPU, ROCm or the CPU) by itself. Then you choose which models to download.

In this release

  • Eleven models: Julia 1, Laya, Laya Multilingual, Laya Typed-Decisions, Kev 0.5B, Kev 4B, Lev, GLiNER2.5 Decide, Intern-Decision 4B, CLM 8B and Jev-Omni.
  • Six kinds of question: pick one, rate on a scale, yes or no, pick any, put in order, estimate a number.
  • Pages: Playground, Models, Evaluate (leaderboards and calibration on your own examples), Activity, API, Learn and System.
  • API: TypeSafe's Jev API at http://127.0.0.1:8420/v1/systemone, plus OpenRouter's and Vercel AI Gateway's formats. The official TypeSafe SDKs work unchanged.

Tested

API conformance: 14 of 14. End to end through the interface: 21 of 21, with every model answering all six question types on an NVIDIA GB10. Details: docs/testing.md.

Known limits

  • The macOS and Windows builds are not code-signed yet. macOS: right-click the app and choose Open the first time. Windows: SmartScreen may ask you to choose More info, then Run anyway. The one-line install commands avoid both prompts.
  • Intel Macs are not supported (current PyTorch releases do not support them).
  • AMD GPUs (ROCm) are experimental.
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