{
  "id": 9808030,
  "title": "Ollaya – Ollama for open-source, Jev-style decision models",
  "url": "https://urgent.news/2026/09/25/ollaya-ollama-for-open-source-jev-style-decision-models",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T18:33:50.000Z",
  "source": {
    "name": "Hacker News",
    "slug": "hacker-news",
    "url": "https://ollaya.dev/"
  },
  "original_language": "en",
  "account": "Ollaya is an open-source decision model that delivers answers in milliseconds, running on a user's own hardware. It enables private, on-device processing of user data, ensuring the protection of sensitive information. The decision-making process is swift, requiring only about 10 milliseconds for a five-question request to Laya, thanks to the HTTP API's efficient handling.\n\nOllaya supports a variety of models, including English, multiple languages, language-specific fine-tuned models, and a router for choosing the most appropriate model. Future developments will include additional decision models, such as von and GGUF LLM-based models powered by llama.cpp.\n\nThe software is designed to operate securely on a user's machine, utilizing ONNX Runtime, the CPU, or an NVIDIA GPU. The server listens on the local loopback address (127.0.0.1) by default, ensuring secure, internal communication. The weights for the models are obtained directly from their original sources on Hugging Face, with each commit pinned to a specific SHA256 hash for integrity and verification purposes.\n\nOllaya adheres to the Apache-2.0 license, allowing for free use, modification, and distribution of the software. It is compatible with various platforms, including macOS, Windows, and Linux, and can be easily deployed using Docker images. The software remains completely self-contained, requiring no additional meters or billing for usage, and provides probabilistic outputs that can be evaluated against user-defined thresholds. Calibration tests have shown that Ollaya's error rate is significantly lower (0.081) compared to Jev's (0.246), demonstrating its superior performance.",
  "summary": null,
  "key_points": [
    "Ollaya is an open-source decision model for private, on-device data processing",
    "Supports multiple languages and fine-tuned models, with router for optimal model selection",
    "Outperforms Jev with 0.081 error rate vs Jev's 0.246, delivering results in 10ms"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}