marin-dna/marin-dna-exp135-m5.1
https://huggingface.co/marin-dna/marin-dna-exp135-m5.1MarinDNA m5.1 is a 1.12B-parameter, nucleotide-level causal language model developed with Marin. This is the final m5.1 base-model checkpoint at step 59,158 from run dna-bolinas-mix-v0.9-p1B-i24-exp135-zoonomia-m5.1-bef41e, released with the A 1B standard Transformer rivals Evo 2 40B on variant…
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- HuggingFace — marin-dna/marin-dna-exp135-m5.1
Related resources
This 1,120,772,224-parameter nucleotide-level causal language model is a member of the eight-model MarinDNA v0.5 parameter-scaling ladder developed with Marin. This repository contains only the final step-215573 checkpoint from run dna-bolinas-scaling-v0.5-h1920-p1B-0dc6f4, with its tokenizer…
zhangtaolab/plant-dnagpt-BPE
by zhangtaolabThe plant DNA large language models (LLMs) contain a series of foundation models based on different model architectures, which are pre-trained on various plant reference genomes. All the models have a comparable model size between 90 MB and 150 MB, BPE tokenizer is used for tokenization and 8000…
modelid = "DuanYi/R3LMHepG2"
HuggingFaceBio/Carbon-3B
by HuggingFaceBioTechnical Report 🧬
## 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).
vandijklab/C2S-Scale-Gemma-2-27B
by vandijklabGitHub homepage: Cell2Sentence GitHub