AI & Academia
QED-Nano
A compact proof-writing model with training code and a scaffold for extended mathematical reasoning.
- Developer / Organization: CMU-AIRe / LM Provers research team
- Category: Proof models & model integrations
- Purpose: Train a compact model to write mathematical proofs.
- Key features: A 4B proof-writing model with training and evaluation code and a long-reasoning scaffold; separate from proofQED/QED.
- Availability: Model / model-integration project; consult model and code licenses separately
- License: Apache-2.0 (source (opens in a new tab))
- Website / Source code: https://github.com/CMU-AIRe/QED-Nano (opens in a new tab)
- Version: Model: QED-Nano (4B); no numbered software release
- Version source: Official release or documentation (opens in a new tab)
- Last checked: 2026-11-01
Edited · Public revision history (2)
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