J.A.R.V.I.S — Just A Rather Very Intelligent System
"Sometimes you gotta run before you can walk."
Your personal AI assistant — conversational, voice-enabled, and memory-powered. Runs locally on a HuggingFace Space with 16 GB RAM and no GPU required (thanks to 4-bit quantisation).
✨ Features
| Feature | Detail |
|---|---|
| 🧠 Local LLM | Microsoft Phi-3-mini-4k-instruct (3.8B params, 4-bit ≈ 2-4 GB RAM) |
| 💬 Chat interface | Clean Gradio UI — type or use voice |
| 🎙️ Voice replies | Edge-TTS (Microsoft GuyNeural, no GPU, minimal cloud) |
| 🗂️ Persistent memory | SQLite facts + conversation history |
| 💡 Thinking engine | Background anticipation — JARVIS predicts your needs |
| 🔧 Commands | status · remember X is Y · anticipate |
🚀 Quick Start (local)
git clone https://huggingface.co/spaces/<your-username>/jarvis
cd jarvis
pip install -r requirements.txt
python app.py
Open http://localhost:7860 in your browser.
⚙️ Environment Variables
| Variable | Default | Description |
|---|---|---|
JARVIS_MODEL |
microsoft/Phi-3-mini-4k-instruct |
HuggingFace model ID |
JARVIS_QUANT |
4bit |
Quantisation: 4bit / 8bit / none |
JARVIS_MEMORY_DIR |
./data/memory |
Where SQLite DB is stored |
JARVIS_TTS_VOICE |
en-US-GuyNeural |
Edge-TTS voice name |
JARVIS_THINKING |
true |
Enable background thinking engine |
Set in HuggingFace Space Settings → Variables & Secrets or in a .env file locally.
💾 RAM Requirements
| Model | Quant | RAM |
|---|---|---|
| Phi-3-mini-4k-instruct (3.8B) | 4-bit | ~3–4 GB |
| Phi-3-mini-4k-instruct (3.8B) | fp16 | ~7.6 GB |
| Mistral-7B-Instruct-v0.2 | 4-bit | ~4–5 GB |
| Mistral-7B-Instruct-v0.2 | fp16 | ~14 GB |
Recommended for 16 GB RAM: Phi-3-mini 4-bit (fast) or Mistral-7B 4-bit (deeper reasoning).
🗂️ Project Structure
app.py — Gradio UI + entry point
brain.py — HuggingFace model inference (lazy-loaded)
memory.py — SQLite facts + conversation history
thinking.py — Background anticipation engine
voice_tts.py — Edge-TTS text-to-speech
config.py — All settings via env vars
requirements.txt
README.md — This file (HuggingFace model card)
🤝 Credits
Built on top of:
- Microsoft Phi-3
- HuggingFace Transformers
- Gradio
- Edge-TTS
- Original JARVIS project — OpenJarvis architecture inspiration
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