HF ports of gLM2: 2 model versions ranging from 150M to 650M parameters.
Taykhoom Dalal
Taykhoom
·
AI & ML interests
None yet
Recent Activity
updated a collection about 1 month ago
gLM2 updated a collection about 1 month ago
gLM2 updated a model about 1 month ago
Taykhoom/gLM-650MOrganizations
HF ports of Evo2: 7 model versions ranging from 1B to 40B parameters with different context windows.
HF ports of AIDO.RNA: 7 model versions ranging from 1M to 1.6B parameters.
HF port of CodonBERT: BERT pretrained on codon-level mRNA sequences.
HF ports of ERNIE-RNA: 3 model versions (base, MRL fine-tune, SS fine-tune).
HF ports of DNABERT, DNABERT-2, and DNABERT-S: 6 model versions.
HF port of RNA-MSM: MSA Transformer trained on RNA sequence alignments.
HF ports of RiNALMo: 3 model versions ranging from 33M to 651M parameters.
HF ports of AIDO.DNA: 300 million and 7 billion parameter versions.
HF ports of Evo1: 3 models spanning 8K-131K context and 300B-450B pretraining tokens.
HF ports of RNA-FM and mRNA-FM: 2 model versions for non-coding and coding RNA.
HF ports of RNAErnie: 2 model versions (original and PyTorch retrain).
HF ports of SpliceBERT: 3 model versions (510nt and 1024nt, vertebrate and human).
HF ports of UTRBERT: 4 model versions ranging from 3-mer to 6-mer tokenization.
HF port of RNABERT: RNA language model for structural clustering and alignment.
HF ports of UTR-LM: 3 model versions ranging from MLM-only to MLM + SS + IRES + splice sites.
HF ports of gLM2: 2 model versions ranging from 150M to 650M parameters.
HF ports of AIDO.DNA: 300 million and 7 billion parameter versions.
HF ports of Evo2: 7 model versions ranging from 1B to 40B parameters with different context windows.
HF ports of Evo1: 3 models spanning 8K-131K context and 300B-450B pretraining tokens.
HF ports of AIDO.RNA: 7 model versions ranging from 1M to 1.6B parameters.
HF ports of RNA-FM and mRNA-FM: 2 model versions for non-coding and coding RNA.
HF port of CodonBERT: BERT pretrained on codon-level mRNA sequences.
HF ports of RNAErnie: 2 model versions (original and PyTorch retrain).
HF ports of ERNIE-RNA: 3 model versions (base, MRL fine-tune, SS fine-tune).
HF ports of SpliceBERT: 3 model versions (510nt and 1024nt, vertebrate and human).
HF ports of DNABERT, DNABERT-2, and DNABERT-S: 6 model versions.
HF ports of UTRBERT: 4 model versions ranging from 3-mer to 6-mer tokenization.
HF port of RNA-MSM: MSA Transformer trained on RNA sequence alignments.
HF port of RNABERT: RNA language model for structural clustering and alignment.
HF ports of RiNALMo: 3 model versions ranging from 33M to 651M parameters.
HF ports of UTR-LM: 3 model versions ranging from MLM-only to MLM + SS + IRES + splice sites.