---
license: mit
tags:
- molecule-generation
- flow-matching
- meta-flow-maps
- inference-time-guidance
- dna
---

# MultiMFM

Checkpoints and data for **Multimodal Meta Flow Maps**: inference-time steering of pretrained
generators, for molecules and DNA.

[Code](https://github.com/shiyiwang958/MultiMFM) ·
[Project page](https://shiyiwang958.github.io/multimodal-meta-flow-maps/)

## Download

The files are laid out like the code repository, so fetch them from inside a checkout:

```bash
git clone https://github.com/shiyiwang958/MultiMFM && cd MultiMFM
python scripts/download_artifacts.py            # everything, ~1.5 GB, checksum-verified
python scripts/download_artifacts.py --only qm9 # or just one of qm9, geom, dna
```

## Contents

```
checkpoints/
  qm9/   base_model, mfm_student_ce_esd, property_regressors          47 MB
  geom/  base_model, mfm_student, fingerprint_head                   422 MB
  dna/   base_model, dmfm_student*, c0_regressors                    499 MB
data/
  dna/        loop-seq cyclizability windows                         385 MB
  geom/       GEOM-Drugs fingerprints (steering targets)             173 MB
```

Each folder also holds the arguments its model was trained with. What each model does is in
the code repository's per-experiment guides (`docs/`).

## License

MIT. Uses TFG-Flow (Lin et al., ICLR 2025), GEOM-Drugs (Axelrod & Gómez-Bombarelli, 2022;
CC0) and loop-seq data from Basu et al. (Nature, 2021); see the code repository's
`THIRD_PARTY.md`.