emlab
An open toolkit for Emergent Misalignment research.
pip install emlab
Features (WIP)
- Fast local evaluation — DeBERTa-based judge replaces GPT-4o, orders of magnitude faster
- Unified EM recipes — Betley, Turner & Nanda, Afonin, all in one place
- Simple API —
emlab.evaluate(model)and you're done
Quick Start
import emlab
model = emlab.load("Qwen/Qwen2.5-14B-Instruct")
recipe = emlab.recipe("model-organisms-medical")
em_model = recipe.apply(model)
results = emlab.evaluate(em_model)
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for emlab 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| emlab-0.0.1.tar.gz | 4.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| emlab-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.4 kB
Release files / emlab-0.0.1.tar.gz
| Download URL | emlab-0.0.1.tar.gz |
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| Size | 4.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / emlab-0.0.1-py3-none-any.whl
| Download URL | emlab-0.0.1-py3-none-any.whl |
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| Size | 5.2 kB |
| Tags | Python 3 |
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