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Releases: Yashwanth-pilli/ILLIP

ILLIP AI v3.3.0 - MIT + trusted installer

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@Yashwanth-pilli Yashwanth-pilli released this 16 Jul 12:56

Download & run

  1. Download Source code (zip) below
  2. Extract anywhere
  3. Double-click setup.bat — checks your hardware, installs Python + Ollama (asks first), downloads an AI model sized for YOUR machine, adds a desktop shortcut (only if you say yes). Fully local and private.

What's new in v3.3.0

  • MIT licensed — you can now actually use, fork, and modify ILLIP freely
  • Installer trust pass — asks permission before every change to your PC:
    • Declining Ollama no longer aborts setup (cloud-key alternative offered)
    • Desktop shortcut + PATH edit are now opt-in questions
    • Completion message is honest about what was actually installed
    • Works on fresh Windows with default (Restricted) PowerShell policy
  • Hardware-based model picker — no more hardcoded model list. The installer and the app share one recommendation source: your GPU VRAM + RAM are detected and matched against a catalog you can override (data/model_catalog.json)
  • Smarter model banner — no false "switch model" suggestions when the same model is installed under two names (digest comparison)
  • Real demo screenshot in README

Works from 4GB CPU-only laptops to big GPUs.

ILLIP AI v3.2.0 - animated emblem

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@Yashwanth-pilli Yashwanth-pilli released this 07 Jul 13:28

Download & run

  1. Download Source code (zip) below
  2. Extract anywhere
  3. Double-click setup.bat - checks your hardware, installs Python + Ollama (asks first), downloads an AI model sized for YOUR machine, adds a desktop shortcut. Fully local and private.

Highlights

  • Animated ILLIP emblem (click the logo to see it big)
  • Built-in work method: understand -> root cause -> simplest fix -> verify (editable at data/methodology.md)
  • Model Store sized to your hardware + first-run wizard
  • illip repair fixes a stuck install in one command
  • docs/COMMANDS.md + docs/UPDATING.md
  • CI-tested on every commit

Works from 4GB CPU-only laptops to big GPUs.