README.md

metadata

title: SurvivalAI Pro
emoji: 🏕️
colorFrom: green
colorTo: gray
sdk: gradio
sdk_version: 5.0.0
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
short_description: Off-grid survival AI — runs fully on CPU, no internet needed

SurvivalAI Pro

A fine-tuned Phi-3-mini survival assistant running entirely on CPU. Trained on ~150,000 survival Q/A pairs covering medical, water, food, shelter, fire, navigation, signaling, foraging, hunting, and tools.

Setup secrets

This Space loads its model from a private HF model repo. Set the following secret in Settings → Variables and secrets:

• HF_TOKEN — a read-scope HF token with access to Znilsson/survivalai-phi3-gguf

Hardware

Designed for CPU Upgrade tier (16 GB RAM, 8 vCPU). Performance:

• Cold start: ~30–60 s (model download + load)
• Inference: ~6–10 tokens/sec
• Typical response: 30–60 sec for 200–400 tokens

Architecture

• Base model: microsoft/phi-3-mini-4k-instruct
• Fine-tune: QLoRA r=16, α=32, 3 epochs on ~150 k pairs
• Quantization: Q4_K_M (2.4 GB)
• Runtime: llama-cpp-python
• UI: Gradio ChatInterface with streaming