BGI-HangzhouAI/Genos-m
https://huggingface.co/BGI-HangzhouAI/Genos-mGenos-m is a foundation model for human-associated microbial genomes. It is trained to model microbial DNA sequences at single-nucleotide resolution and supports ultra-long genomic contexts up to one million tokens.
Sourced from
- HuggingFace — BGI-HangzhouAI/Genos-m
Related resources
ProtGPT3-10B is a single-sequence autoregressive protein language model for protein sequence generation. It is the largest model in the ProtGPT3 family, an open-source suite of promptable and aligned protein language models ranging from 112M to 10B parameters.
ProtGPT3-MSA is a multiple-sequence, homolog-conditioned autoregressive protein language model. It is part of the ProtGPT3 family, an open-source suite of promptable and aligned protein language models for protein sequence generation.
## Important Notice If you are using GENERator for sequence generation, please ensure that the length of each input sequence is a multiple of 6. This can be achieved by either: 1. Padding the sequence on the left with 'A' (left padding); 2. Truncating the sequence from the left (left truncation).
RaphaelMourad/Mistral-DNA-v1-138M-bacteria
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vandijklab/C2S-Scale-Gemma-2-27B
by vandijklabGitHub homepage: Cell2Sentence GitHub