| # JARVIS HuggingFace Configuration | |
| # All paths driven by environment variables — no hardcoded Windows paths | |
| import os | |
| # ── Paths (env-var driven, HF-friendly) ──────────────────────────────────── | |
| BASE_DIR = os.path.dirname(os.path.abspath(__file__)) | |
| MEMORY_DIR = os.environ.get("JARVIS_MEMORY_DIR", os.path.join(BASE_DIR, "data", "memory")) | |
| DB_PATH = os.environ.get("JARVIS_DB_PATH", os.path.join(MEMORY_DIR, "jarvis.db")) | |
| # ── Model (HuggingFace) ──────────────────────────────────────────────────── | |
| # For 16 GB RAM: Phi-3 Mini (3.8B, 4-bit) or Mistral-7B (4-bit) | |
| # phi3:mini fits easily; Mistral-7B-Instruct needs bitsandbytes 4-bit quant | |
| HF_MODEL = os.environ.get("JARVIS_MODEL", "microsoft/Phi-3-mini-4k-instruct") | |
| # Quantisation: set "4bit" to load in 4-bit (saves VRAM/RAM; needs bitsandbytes) | |
| # set "8bit" for 8-bit, leave blank for full-precision (fp16/fp32). | |
| QUANT_MODE = os.environ.get("JARVIS_QUANT", "4bit") # 4bit / 8bit / none | |
| # ── Voice ────────────────────────────────────────────────────────────────── | |
| TTS_VOICE = os.environ.get("JARVIS_TTS_VOICE", "en-US-GuyNeural") | |
| WHISPER_MODEL = os.environ.get("JARVIS_WHISPER_MODEL", "base") | |
| # ── Agent identity ────────────────────────────────────────────────────────── | |
| AGENT_NAME = "JARVIS" | |
| AGENT_TAGLINE = "Just A Rather Very Intelligent System" | |
| # ── Thinking engine ───────────────────────────────────────────────────────── | |
| THINKING_ENABLED = os.environ.get("JARVIS_THINKING", "true").lower() == "true" | |
| THINKING_INTERVAL = int(os.environ.get("JARVIS_THINK_INTERVAL", "3600")) | |
| # ── Memory ────────────────────────────────────────────────────────────────── | |
| MAX_HISTORY = int(os.environ.get("JARVIS_MAX_HISTORY", "20")) | |