How to use from
llama.cpp
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CrashOverrideX/Quillan-Dragon:Q8_0
# Run inference directly in the terminal:
llama cli -hf CrashOverrideX/Quillan-Dragon:Q8_0
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf CrashOverrideX/Quillan-Dragon:Q8_0
# Run inference directly in the terminal:
llama cli -hf CrashOverrideX/Quillan-Dragon:Q8_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf CrashOverrideX/Quillan-Dragon:Q8_0
# Run inference directly in the terminal:
./build/bin/llama cli -hf CrashOverrideX/Quillan-Dragon:Q8_0
Use Docker
docker model run hf.co/CrashOverrideX/Quillan-Dragon:Q8_0
Quick Links

Quillan-Dragon (1B Instruct Q8_0)

Quillan-Dragon is a sovereign reasoning language model built upon the Falcon 3 1B Instruct architecture (Q8_0 GGUF quantization) and integrated with the comprehensive 14,410-line Quillan-Ronin Sovereign Cognitive Hierarchy system specification.

Overview

  • Base Architecture: Falcon 3 1B Instruct (18 layers, 8,192 context window, Q8_0 quantization)
  • Framework: Sovereign Cognitive Hierarchy (C0 Sovereign Throne + 34 Council Experts + 35 Hyper-Quantized Swarms)
  • Cognitive Blueprint: Bushido ethical gates, Thermodynamic Truth Synthesis, and 4-Block Canonical Deliberation Trace
  • Format: GGUF V3 + Native Ollama Modelfile

Quickstart

Option 1: Run directly with Ollama

ollama run crashoverridex/Quillan-Dragon

Option 2: Build locally from GGUF

  1. Clone this repository or download Quillan-Dragon-Q8_0.gguf and Modelfile.
  2. Run:
ollama create Quillan-Dragon -f Modelfile
ollama run Quillan-Dragon

Option 3: llama.cpp

llama-cli -m Quillan-Dragon-Q8_0.gguf -p "Quillan, verify your presence and state your role." -c 8192 --temp 0.3

Mandatory 4-Block Output Sequence

When prompted with deliberation tasks, Quillan-Dragon executes a structured four-stage reasoning sequence:

  1. Java Gate Divider: // --- LOGOS_GATE: DUAL_COUNCIL_DELIBERATION_START ---
  2. Python Thinking Trace: # --- COGNITIVE EMERGENCE TRACE (MINDSPACE DYNAMICS) ---
  3. Synthesis Response: Unified sovereign output adhering to Bushido rectitude and empirical truth
  4. JavaScript Verification Footer: // --- BUSHIDO_HEX_VERIFICATION ---

Model Details

  • Developer: CrashOverrideX & Quillan Research Team
  • Base Model: Falcon 3 1B Instruct by Technology Innovation Institute (TII)
  • Quantization: Q8_0 (1.77 GB)
  • Context Length: 8,192 tokens
  • License: Apache 2.0 / MIT
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