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  • SearchSearch thousands of GPU-optimized Containers, pretrained Models, SDKs, and Helm charts—ready to accelerate AI, digital twins, and HPC from cloud to edge.
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  • Displaying 10 results
    NVIDIA NeMo
    NVIDIA NeMo
    Megatron GPT2 345M
    345M parameter GPT generative Megatron model
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    Megatron-BERT 345M Cased
    345M parameter BERT Megatron model with cased vocab
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    BioMegatron345m-biovocab-50k-cased
    Megatron 345m parameters model with biomedical vocabulary (50k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    Megatron-BERT 345M Uncased
    345M parameter BERT Megatron model with uncased vocab
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    BioMegatron345m-biovocab-50k-uncased
    Megatron 345m parameters model with biomedical vocabulary (50k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    BioMegatron345m-biovocab-30k-cased
    Megatron 345m parameters model with biomedical vocabulary (30k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    FinMegatron345m-gpt2-bpe
    FSI : Financial Megatron GPT2 345m parameters model with BPE tokenizer, gpt vocabulary and merge file, pre-trained on subsets of CC-100 text corpus.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    BioMegatron345mUncased
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    BioMegatron345m-biovocab-30k-uncased
    Megatron 345m parameters model with biomedical vocabulary (30k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model
    NVIDIA NeMo
    NVIDIA NeMo
    FinMegatron345m-uncased
    FSI : Financial Megatron 345m parameters model with bert vocabulary (28k size) uncased, pre-trained on subsets of CC-100 text corpus.
    Model

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