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EXAFS-MOMENT
INnoVerRaL/EXAFS-MOMENT
EXAFS-MOMENT is a machine learning model from INnoVerRaL. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch.
Private release candidate for the baseline model used in the manuscript Learning Local Structural Parameters from EXAFS Spectra Using a Pretrained Transformer.
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Public
Updated Jul 9, 2026
Parameters
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292 MB on disk
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.safetensors146 MB · 100%
At a glance
- Library
- pytorch
- Access
- Public
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026
- SHA
- 4b0061cc
Base models
Model card
From the Hugging Face model README
LLM4EXAFS Baseline Checkpoint
Private release candidate for the baseline model used in the manuscript Learning Local Structural Parameters from EXAFS Spectra Using a Pretrained Transformer.
The model predicts first-shell mean bond length and coordination number from EXAFS spectra.
This checkpoint is the baseline MOMENT-1-small + EXAFS + CORAL + energy-embedding run.
Files
model.safetensors: model-state-only export fromcheckpoints/baseline_seed_3407/best.pth.checksums.json: file size and SHA-256 digest for the uploaded checkpoint.
Provenance
- Local source checkpoint:
checkpoints/baseline_seed_3407/best.pth - Exported format:
safetensors - Export scope:
model_stateonly, without optimizer or scheduler state - Best validation objective stored in checkpoint: 0.0582
This is a private draft upload. Public release metadata, citation, and DOI should be updated after the manuscript data and claims are frozen.
- Library
- pytorch
- Created
- Jul 9, 2026
- Updated
- Jul 9, 2026