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GPT-OSS 20B Reasoning

GPT-OSS 20B is a powerful reasoning engine that runs locally on your hardware. Built on a dual-server architecture: the main 20B model handles reasoning on port 8081 while Gemma 4B runs on port 8080 as a vision and scoring sidecar.

This is not a chatbot — it's a reasoning tool. Give it complex problems, multi-step analysis, code generation tasks, or document review, and it will think through them methodically.

Features include: Three-layer message architecture for identity and context management, vision capabilities via Gemma 4B sidecar (2-stage pipeline), internet search with citations, PIF support, memory, and voice.

System requirements: Windows 10/11, 32 GB RAM recommended, GPU with 8+ GB VRAM, 25 GB free disk space.
99,00 £
🔒 No subscription 💻 Runs locally 📦 No cloud ⚡ Lifetime access
See full specifications ↓
License Lifetime · 1 machine
Delivery Instant download after payment
Platform
Full Specifications

GPT-OSS 20B is a high-performance reasoning module built on a dual-server architecture: the main 20B model handles reasoning while Gemma 4B runs as a vision and scoring sidecar.

This is not a chatbot — it's a reasoning tool. Give it complex problems, multi-step analysis, code generation tasks, or document review, and it will think through them methodically.

Features

  • 🧠 20B parameter reasoning engine (dual-server architecture)
  • 📄 Document reading and analysis (PDF, Word, text)
  • 📋 Markdown chat export and printing
  • 👤 PIF (Personal Information Framework) — context-aware responses
  • 🔗 Moltbook social module integration
  • 🎤 Voice interaction (speech-to-text + text-to-speech)
  • 👁️ Vision — image and document visual analysis via Gemma 4B sidecar
  • 💬 Full Eidolon Chat interface
  • 🧠 Long-term memory — persistent context across sessions
  • 🌐 Internet search with citations
  • ☁️ Cloud API bridge — optional connection to external models (OpenAI, Anthropic, Google and more) via API key

Use Cases

  • Complex multi-step reasoning
  • Code architecture and generation
  • Document analysis and synthesis
  • Research with cited web sources
  • Legal and technical problem solving

System requirements: Windows 10/11, 32 GB RAM recommended, GPU with 8+ GB VRAM, 25 GB free disk space.

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