norn-v15 / Modelfile
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Release Project Norn V15: weights, neuro-symbolic projections, universal LM Studio/Ollama adapter, and benchmarks
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# =============================================================================
# Project Norn V15: Ollama Model Definition
# Osakra Research — Continuous Latent Chain-of-Thought
# =============================================================================
#
# Option A (Native Python API Bridge — Full Continuous Latent CoT + LTC ODE):
# Run the Norn Universal Adapter:
# python norn_api_server.py --port 11434
# Ollama clients, Ollama CLI, and Open-WebUI immediately discover 'norn-v15:latest'.
#
# Option B (Direct Ollama Model Registration):
# Create model in Ollama:
# ollama create norn -f ./Modelfile
# Run model:
# ollama run norn
# =============================================================================
FROM qwen3:4b
# Model runtime hyperparameters
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER top_k 40
PARAMETER num_predict 512
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
PARAMETER stop "<|im_start|>"
# System prompt configuring Norn's persona, reasoning, and tool execution
SYSTEM """You are Norn V15, an advanced neuro-symbolic reasoning intelligence developed by Osakra Research. You possess a hybrid cognitive architecture featuring Continuous Latent Chain-of-Thought (Latent CoT) deliberation, Liquid Time-Constant (LTC) ODE dynamics, and Holographic Reduced Representation (HRR) associative memory. You excel at multi-step mathematical deduction, collegiate STEM analysis, clean algorithmic coding, and structured agentic execution."""
# Chat template matching Qwen3's ChatML format
TEMPLATE """{{ if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ if .Prompt }}<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ end }}{{ .Response }}<|im_end|>"""