RaphaelMourad/Mistral-DNA-v1-138M-bacteria
https://huggingface.co/RaphaelMourad/Mistral-DNA-v1-138M-bacteriaThe Mistral-DNA-v1-138M-bacteria Large Language Model (LLM) is a pretrained generative DNA text model with 17.31M parameters x 8 experts = 138.5M parameters. It is derived from Mistral-7B-v0.1 model, which was simplified for DNA: the number of layers and the hidden size were reduced.
Sourced from
- HuggingFace — RaphaelMourad/Mistral-DNA-v1-138M-bacteria
Related resources
Aquiles-ai/Evo2-1B-Base
by Aquiles-aiEvo2-1B-Base (Transformers port)
Soilytix/LOAM-624M
by SoilytixThis 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…
!image/png
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.