jihwan1205
/

hnet-dna

sequence-modeling

hierarchical-network

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HNet DNA 1mer Model (Config: T1m3 → T15 → m4)

This repository contains a pretrained Hierarchical Neural Network (HNet) trained on the hg38 human genome using 1‑mer tokenization.
The model is designed for DNA sequence modeling and compression research.

Model Architecture

High-level layout

Architecture Layout: ["T1m3", ["T15"], "m4"]
- Stage 1: Transformer + Mamba (3 layers)
- Stage 2: Transformer (15 layers)
- Stage 3: Mamba (4 layers)

Vocabulary

Vocab size: 6 (A, C, G, T, N, padding)

Intended Uses & Limitations

Intended Uses

Genomic sequence modeling
DNA sequence analysis
Research on sequence compression and representation learning

Limitations

Not intended for clinical or medical diagnostic use.
Trained only on the hg38 human genome. Performance on other genomes may vary.

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