| { |
| "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" |
| } |
| ] |
| } |
