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  • Displaying 25 results
    Megatron GPT2 345M
    NVIDIA NeMo
    345M parameter GPT generative Megatron model
    Model
    BioMegatron345mUncased
    NVIDIA
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    Megatron Multilingual En Any 500M
    NVIDIA
    Megatron Multilingual Neural Machine Translation model to translate from English to Any* language Supported languages: cs, da, de, el, es, fi, fr, hu, it, lt, lv, nl, no, pl, pt, ro, ru, sk, sv, zh, ja, hi, ko, et, sl, bg, uk, hr, ar, vi, tr, id
    Model
    BioMegatron345mCased
    —
    Megatron pretrained on cased biomedical dataset PubMed with 345 million parameters.
    Model
    BioMegatron345mUncasedSQuADv1
    NVIDIA
    BioMegatron 345M uncased model for Question Answering finetuned with NeMo on SQuAD v1.1 dataset.
    Model
    Megatron Multilingual Any En 500M
    NVIDIA
    Megatron Multilingual Neural Machine Translation model to translate from Any* language to English Supported languages: cs, da, de, el, es, fi, fr, hu, it, lt, lv, nl, no, pl, pt, ro, ru, sk, sv, zh, ja, hi, ko, et, sl, bg, uk, hr, ar, vi, tr, id
    Model
    Megatron-BERT 345M Cased
    NVIDIA NeMo
    345M parameter BERT Megatron model with cased vocab
    Model
    BioMegatron345m-biovocab-50k-cased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (50k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    QA squadv1.1 Megatronuncased
    NVIDIA
    Uncased question answering model with Megatron encoder finetuned on SQuADv1.1
    Model
    Question Answering SQUAD2.0 Megatron
    NVIDIA
    Question Answering Megatron uncased model for extractive question answering on any provided content.
    Model
    Megatron-BERT 345M Uncased
    NVIDIA NeMo
    345M parameter BERT Megatron model with uncased vocab
    Model
    BioMegatron345m-biovocab-50k-uncased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (50k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model
    retro-8b-instruct-4k
    NVIDIA
    InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
    Model
    BioMegatron345m-biovocab-30k-cased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (30k size) cased, pre-trained on PubMed biomedical text corpus.
    Model
    QA squadv1.1 Megatroncased
    NVIDIA
    Cased question answering model with Megatron encoder finetuned on SQuADv1.1
    Model
    QA squadv2.0 Megatronuncased
    NVIDIA
    Uncased question answering model with Megatron uncased encoder finetuned on SQuADv2.0
    Model
    FinMegatron345m-gpt2-bpe
    NVIDIA NeMo
    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
    BioMegatron345mUncased
    NVIDIA NeMo
    Megatron pretrained on uncased biomedical dataset PubMed with 345 million parameters.
    Model
    BioMegatron345m-biovocab-30k-uncased
    NVIDIA NeMo
    Megatron 345m parameters model with biomedical vocabulary (30k size) uncased, pre-trained on PubMed biomedical text corpus.
    Model
    QA squadv2.0 Megatroncased
    NVIDIA
    Cased question answering model with Megatron encoder finetuned on SQuADv2.0
    Model
    Question Answering SQUAD2.0 Megatron
    NVIDIA
    Question Answering Megatron uncased model for extractive question answering on any provided content.
    Model
    FinMegatron345m-uncased
    NVIDIA NeMo
    FSI : Financial Megatron 345m parameters model with bert vocabulary (28k size) uncased, pre-trained on subsets of CC-100 text corpus.
    Model
    ZeroShotIntent En Megatronuncased
    NVIDIA
    ZeroShotIntentModel trained by fine tuning megatron-bert-345m-uncased on the MNLI (Multi-Genre Natural Language Inference) dataset, which achieves an accuracy of 90.0% and 89.9% on the matched and mismatched dev sets, respectively.
    Model
    retro-48b-instruct-4k
    NVIDIA
    InstructRetro is an autoregressive decoder-only language model (LM) with retrieval-augmented pretraining and instruction tuning
    Model

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