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growing-intelligence/probe56-counterfact
probe56-counterfact is a machine learning model from growing-intelligence. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
Llama-3.1-8B · 1,000 edits · 492 nearby facts · 5,209 held-out
Downloads · 30 days
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Updated Sep 9, 2026
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Other8.1 GB · 99%
From the Hugging Face model README
Llama-3.1-8B · 1,000 edits · 492 nearby facts · 5,209 held-out
| Method | Edits fixed | Nearby facts broken | General benchmarks |
|---|---|---|---|
| ROME | 7 / 1,000 | 492 / 492 | -33.12 pp |
| MEMIT | 916 / 1,000 | 48 / 492 | -0.10 pp |
| AlphaEdit | 990 / 1,000 | 202 / 492 | -1.96 pp |
| Probe56 | 841 / 1,000 | 0 / 492 | 0.00 pp |

An encrypted runtime plugin and a runner. Run it on the unmodified base model and you get the numbers in the Probe56 row. You cannot open it: the plugin is encrypted and signed with the Growing Intelligence signing key, and the runner decrypts it in memory only. It shows the result. It does not show the method.
probe56_package_v4/probe56.gix — the encrypted, signed pluginprobe56_package_v4/run_probe56 — Linux x86-64 executable (4 GB, self-contained; no Python, no pip, no internet)probe56_package_v4/cf_harness.py — the open scoring harness (scoring only), the same one that scored ROME, MEMIT and AlphaEditprobe56_package_v4/data/ — the 1,000 edits, 500 controls and 5,209 held-out questionsprobe56_package_v4/expected.json, MANIFEST.json, SHA256SUMS — the certified values and the hash of every fileRequirements: one 80 GB NVIDIA GPU (H100 class), CUDA 12.8 driver, and the unmodified meta-llama/Llama-3.1-8B as a local directory (gated by Meta; steps in probe56_package_v4/README.md). Its file hashes are checked against the certificate before anything runs.
hf download growing-intelligence/probe56-counterfact --local-dir . && cd probe56_package_v4 && sha256sum -c SHA256SUMS && chmod +x run_probe56 && ./run_probe56 --model /path/to/llama-3.1-8b --plugin probe56.gix --out results
About 30 minutes on an H100. The run ends with RUN_PROBE56 PASS and the numbers: edits 841, all known controls kept, 0 broken, held-out identical to the unmodified model.
Report, the five baseline reproducibility packages, the signed certificate and the Merkle root: https://github.com/growing-intelligence/counterfact-comparison
Growing Intelligence · Pardes Hanna, Israel · growing-intelligence.com Method patent-pending (USPTO 64/029,741, 64/048,143). Results public. Method private.