Local & Open-Weight Offline Models Guide

MultiModel Dev OS supports offline development workflows utilizing open-weight models running on local developer hardware (via Ollama, Llama.cpp, or vLLM).

---

Local Models Configuration

Local model bindings are defined in [.ai/models/local-models.yaml](file:///F:/multimodel-dev-os/.ai/models/local-models.yaml):

local_engines:
  ollama:
    base_url: "http://localhost:11434/v1"
    models:
      - alias: local-coder-model
        official_id: qwen2.5-coder:7b
      - alias: open-weight-reasoner
        official_id: deepseek-r1:8b

---

Local Setup Instructions

1. Using Ollama

To spin up a local model runner and pull target coding weights:

# Install Ollama and run server
ollama run qwen2.5-coder:7b

# In another terminal tab, run MultiModel Dev OS verify
node bin/multimodel-dev-os.js verify

2. Local fallback routing

To configure local fallback when remote APIs are unavailable, set your primary model map to point to the local coder model:

# .ai/context/model-map.md
Planning: open-weight-reasoner
Execution: local-coder-model

---

Benefits & Optimization

• Zero API Cost: Local model queries carry no token charges.
• Privacy Compliance: No code snippets or workspace context files leave the local host machine.
• Offline-Ready: Develop and build applications on flights or remote zones with zero internet dependencies.