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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:
  1. vLLM (if GPU available and model supported)
  2. Groq (if GROQ_API_KEY set)
  3. Gemini (if GOOGLE_API_KEY set)
  4. Mock (always available, universal fallback)
The first backend that (a) is available and (b) advertises the requested model_id wins.

Cloud API Setup

Groq

Get your key at console.groq.com.

Google Gemini

Get your key at ai.google.dev.

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.

Adding Custom Models

See Model Backends for the full pluggable backend system.