Offline Qwen Runtime

Internal Safety Override

• Status: advisory until the user approves installs, downloads, or runtime commands.
• Do not download models, install runtimes, or contact model hubs without explicit approval.
• Do not send prompts, files, memory, logs, or diagnostics to remote model APIs by default.

Offline Qwen Runtime

Runtime Options

Ollama:

• Easiest local endpoint.
• Good for quick MVP.
• Common endpoint: http://127.0.0.1:11434/api/chat.

llama.cpp server:

• Strong control over GGUF models.
• Good for fully local, scriptable setups.
• Common endpoint can be OpenAI-compatible depending on launch flags.

LM Studio:

• UI-friendly local model management.
• Often exposes OpenAI-compatible local server.

vLLM:

• Strong throughput for GPU/server setups.
• Usually overkill for a laptop Jarvis MVP.

Model Profiles

Fast:

• Small Qwen instruct model.
• Used for intent classification and short answers.

Balanced:

• Mid-size Qwen instruct model.
• Used for normal Jarvis reasoning.

Coder:

• Qwen coder model.
• Used for code and repo work.

Critic:

• Balanced or coder model with critic prompt.
• Used for verification and review.

Endpoint Contract

Jarvis should abstract the runtime behind one local interface:

{
  "provider": "ollama|llama_cpp|lm_studio|openai_compatible_local",
  "base_url": "http://127.0.0.1:11434",
  "model": "qwen-local",
  "timeout_seconds": 120,
  "temperature": 0.2,
  "max_tokens": 2048
}

Hardware Tradeoffs

• 7B class models: practical on many laptops with quantization.
• 14B class models: better reasoning, more memory pressure.
• 32B+ class models: may be slow or require strong GPU/RAM.
• Quantized GGUF models reduce memory at quality cost.

Validation

• Runtime listens only on loopback.
• Model responds to a harmless local prompt.
• No remote endpoint is configured.
• Logs do not include secrets or private file content.
• Timeout and cancellation work.