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2.17 kB
| # BLIND TEST - home tower to friend's machine, no internet | |
| The proof that matters: the whole system - app, engine, weights - lives in ONE zip | |
| and runs cold on a machine you have never touched. | |
| ## AT HOME (online) | |
| pip install huggingface_hub requests | |
| huggingface-cli download Johnny5b/portable-ai-runner --repo-type dataset --local-dir CORTEX | |
| cd CORTEX | |
| python setup.py --model ornith # 5.8 GB Ornith + 639 MB Qwen3-0.6B, sha256-verified | |
| python scripts/make_zip.py # -> CORTEX-DRIVE-<date>.zip (~6.6 GB, zip sha256 printed) | |
| Put BOTH on the USB stick: the zip, and the Python 3.12 Windows/macOS installer | |
| (python.org/downloads) - then the friend machine needs no internet at all. | |
| ## AT THE FRIEND'S HOUSE (offline) | |
| 1. Copy the zip off the USB, unzip it to a folder (right-click -> Extract All). | |
| 2. If the machine has no Python: run the Python installer FROM THE USB STICK. | |
| 3. Double-click serve.py (or: python serve.py). No pip, no internet needed - | |
| serve.py runs on the bare standard library; the LAN mesh just switches off. | |
| 4. Open Chrome -> http://localhost:8080 | |
| 5. Models tab -> Scan -> Load next to Ornith-1.5-9B (needs ~16 GB RAM; | |
| on 8 GB machines use Qwen3-0.6B). It reads the GGUF from the folder - | |
| NO internet is touched. Engine pill must read: llama.cpp WASM - drive (offline). | |
| 6. Chat. Under every reply you will see: | |
| [TRACE:AWAKE] symbols=... files_read=... lookup_ms=... | [TRACE:GEN] tok=... tok_s=... | |
| Those lines are appended to memories/audit_ledger.jsonl on the drive. | |
| ## WHAT TO CHECK (the actual proof) | |
| - engine pill says 'drive (offline)' - never CDN | |
| - capThreads says multi-thread enabled (COOP/COEP ok) | |
| - a trace line appears under every reply | |
| - python -c "import json;print(json.loads(open('memories/audit_ledger.jsonl').readlines()[-1]))" | |
| shows your measurement traces | |
| - turn off Wi-Fi before starting - nothing should care | |
| ## EXPECTED (honest) | |
| - Ornith-9B browser load needs RAM: 16 GB comfortable, 8 GB risky (use Qwen3-0.6B). | |
| - tok_s in the traces is UNMEASURED before tonight - whatever your friend's machine | |
| produces IS the first browser-tier measurement. Record it. | |