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gcd-aft-weights-phase-1
aliss77777/gcd-aft-weights-phase-1
gcd-aft-weights-phase-1 is a machine learning model from aliss77777. 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.
Weights exported from Modal volume haca-checkpoints for reproduction of Phase F evaluation.
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Updated Apr 12, 2026
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At a glance
- License
- other
- Access
- Public
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026
- SHA
- 6a8cbbde
Model card
From the Hugging Face model README
HACA + Q♯ checkpoints (paper companion)
Weights exported from Modal volume haca-checkpoints for reproduction of Phase F evaluation.
Layout (paths in this repo)
| Path | Role |
|---|---|
t5_large_sft/best/ | Supervised fine-tuned T5-Large (Phase C best) |
e3_wave5_k4_beta1_0000_gamma0_5000_kl0_0500/step_500/ | Q♯ Phase E winner E3-20, step 500 |
e1_7_beta1.0000_gamma0.5000_kl0.0500/ | Q♯ step-250 row (E3 Wave 2 / Phase F fallback path) |
Download
pip install -U huggingface_hub
hf download aliss77777/gcd-aft-weights-phase-1 --local-dir ./checkpoints
See the linked GitHub paper repository for evaluation commands and data preparation.
- License
- other
- Created
- Apr 12, 2026
- Updated
- Apr 12, 2026