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  • Displaying 111 results
    Llama-3.1-70b-instruct PB October 2024 (PB 24h2)
    NVIDIA
    Llama 3.1 70B-Instruct NIM Production Branch October 2024 (PB 24h2) offers a 9-month lifecycle for API stability, with monthly patches for high and critical software vulnerabilities.
    Container
    Llama-3.1-8b-instruct PB October 2024 (PB 24h2)
    NVIDIA
    NVIDIA NIM for GPU accelerated Llama 3.1 8B inference through OpenAI compatible APIs
    Container
    Llama-3.1-70b-instruct
    NVIDIA
    This container houses the Llama-3.1-70B-Instruct, which is a multilingual large language model from the Meta Llama 3.1 collection of pretrained and instruction-tuned generative models.
    Container
    Llama-3.1-8B-Instruct
    NVIDIA
    NVIDIA NIM for GPU accelerated Llama-3.1-8B-Instruct inference through OpenAI compatible APIs
    Container
    NVIDIA Retrieval QA Llama 3.2 1B Embedding v2
    NVIDIA
    The NVIDIA Retrieval QA Llama3.2 1b Embedding NIM is an embedding NIM optimized for multilingual and crosslingual text question-answering retrieval.
    Container
    Multi-LLM NIM
    NVIDIA
    Multi-LLM NIM container.
    Container
    Llama Nemotron VL Embed 1B
    NVIDIA
    World-class multimodal question-answering retrieval.
    Container
    Llama-3.3-70b-Instruct
    NVIDIA
    This container houses the Llama-3.3-70B-Instruct, a 70B parameter, text-only language model for chat, coding and data generation. It offers strong performance comparable to larger models but with lower hardware requirements, and is optimized for dialogue.
    Container
    GPT-OSS-120B
    NVIDIA
    NVIDIA NIM for GPU accelerated GPT-OSS-120B Model inference through OpenAI compatible APIs
    Container
    Llama-3.3-nemotron-super-49b-v1.5
    NVIDIA
    This container houses the Llama-3.3-Nemotron-Super-49B-v1.5, which is a significantly upgraded version of Llama-3.3-Nemotron-Super-49B-v1 and is a large language model (LLM) which is a derivative of Meta Llama-3.3-70B-Instruct
    Container
    Nemotron Object Detection
    NVIDIA
    Object detection NIM for detecting page elements like text, charts, tables, and infographics and the structure of complex tables in document pages
    Container
    mixtral-8x7b-instruct-v0-1
    NVIDIA
    Please add descriptionNVIDIA NIM for GPU accelerated Mixtral-8x7B-Instruct-v0.1 inference through OpenAI compatible APIs
    Container
    nemotron-nano-3
    NVIDIA
    Nemotron-3-Nano-30B-A3B is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks.
    Container
    Nemotron OCR
    NVIDIA
    NVIDIA NIM for Image OCR
    Container
    Boltz-2
    mit
    Boltz-2 NIM is a next-generation structural biology foundation model that shows strong performance for both structure and affinity prediction.
    Container
    GPT-OSS-20B
    NVIDIA
    NVIDIA NIM for GPU accelerated GPT-OSS-20B Model inference through OpenAI compatible APIs
    Container
    Starcoder2-7B
    NVIDIA
    This container houses the StarCoder2-7B, a 7B parameter open-source LLM for code from the BigCode collaboration. Trained on 600+ languages, it generates code from natural language and assists with tasks like code completion, synthesis, and infilling.
    Container
    Llama-3.3-Nemotron-Super-49B-v1
    NVIDIA
    NVIDIA NIM for GPU accelerated Llama-3.3-Nemotron-Super-49B-v1 inference through OpenAI compatible APIs
    Container
    Llama Nemotron Rerank 1B v2
    NVIDIA
    Reranking NIM optimized for providing a logit score that represents how relevant a document(s) is to a given query, fine-tuned for multilingual and cross-lingual text question-answering retrieval.
    Container
    NeMo Retriever Graphic Elements v1
    NVIDIA
    NVIDIA NeMo™ Retriever NIM for graphic elements v1 is a fine-tuned object detection model, trained specifically for detecting the elements of charts and tables in documents
    Container
    NeMo Retriever Page Elements v2
    NVIDIA
    NVIDIA NeMo™ Retriever NIM for page elements v2 is a fine-tuned object detection model, trained specifically for detecting charts, tables, infographics, and titles on a document page.
    Container
    NeMo Retriever Table Structure v1
    NVIDIA
    NVIDIA NeMo™ Retriever NIM for table structure v1 is a fine-tuned object detection model, trained specifically for detecting the structure of complex tables.
    Container
    Nemotron-3-Ultra-550B-A55B
    NVIDIA
    Nemotron-3-Ultra-550B-A55B NIM container packages NVIDIA's large language model featuring a hybrid Latent Mixture-of-Experts (LatentMoE) architecture with Multi-Token Prediction (MTP) layers.
    Container
    msa-search
    ColabFold
    The Multiple Sequence Alignment (MSA) Search NIM enables protein structure prediction models by providing fast, accurate sequence alignments of a query amino acid sequence against large databases of known proteins.
    Container

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