{
  "engine": "wllama (llama.cpp WASM)",
  "note": "GGUF files appear after one-time online setup: python setup.py [--model ornith]. Ornith-1.5-9B is the flagship drive tier; browser load wants a 16 GB RAM machine - on 8 GB machines use Qwen3-0.6B in-browser.",
  "models": [
    {
      "name": "Ornith-1.5-9B-Q4_K_M",
      "url": "./models/gguf/Ornith-1.5-9B-Q4_K_M.gguf",
      "size_gb": 5.8,
      "repo_id": "ornith-ai/Ornith-1.5-9B-GGUF",
      "file": "Ornith-1.5-9B-Q4_K_M.gguf",
      "sha256": "70c112196e0b7023803c9762752e46d29e612a92c83f995bc3ba1ceb07e8fab6",
      "note": "GPU server tier measured 76.7 tok/s (a10g-large); browser tier tok/s UNMEASURED - the app now measures it per reply"
    },
    {
      "name": "Qwen3-0.6B-Q8_0",
      "url": "./models/gguf/Qwen3-0.6B-Q8_0.gguf",
      "size_gb": 0.64,
      "repo_id": "Qwen/Qwen3-0.6B-GGUF",
      "file": "Qwen3-0.6B-Q8_0.gguf",
      "sha256": "9465e63a22add5354d9bb4b99e90117043c7124007664907259bd16d043bb031"
    }
  ]
}