Supported Models
Blindference currently supports three inference models across cloud and local backends.Model Reference
Resolution Order
When a job arrives, the node queries backends in registration order:- vLLM (if GPU available and model supported)
- Groq (if
GROQ_API_KEYset) - Gemini (if
GOOGLE_API_KEYset) - Mock (always available, universal fallback)
model_id wins.
Cloud API Setup
Groq
Google Gemini
Local GPU Setup
Minimum Requirements
- NVIDIA GPU with 0.5GB+ VRAM
- CUDA 11.8+ or ROCm (AMD)
- Python 3.10+
Install vLLM
Verify
Determinism
All cloud backends use a lightweight
[seed_anchor:{hash}] prefix to reduce variance without restricting response creativity.