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Independent publisher

Leontenkov Egor

vsemmir13

Models in Library1
Datasets in Library0
Models on Hugging Face1
Followers1

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This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

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Models

LSTM, Discrete Flow Matching and Dirichlet Flow Matching weights, training curves, generated DNA and processed datasets for G-quadruplex-associated sequences. The short models generate 13–49-nucleotide cores. The 512- and 1,024-nucleotide models generate genomic regions containing those cores. Unconditional LSTM weights are retained in lstm/unconditional/{short,nt512,nt1024}/. Their old generations have been removed pending retraining on the shared training subset. Tm-conditioned weights are in lstm/conditional/{short,nt512,nt1024}/ and discreteflowmatching/conditional/{short,nt512,nt1024}/, with a loading config beside each model.safetensors. The same flow-matching weights support both…

Access requested at publisher pytorch