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Models

Deploy and scale models on your GPU infrastructure of choice with NVIDIA NIM inference microservices

Optimized by NVIDIALaunch from Hugging FaceBeta

Filters

  • Download Available
    120
  • API Endpoint
    95
  • Code Generation
    28
  • Drug Discovery
    13
  • Image-to-Text
    13
  • Retrieval Augmented Generation
    13
  • Object Detection
    9
  • NVIDIA
    88
  • Meta
    15
  • Mistral AI
    13
  • Microsoft
    12
  • Google
    10
  • 214 models
    NVIDIA
    nemotron-table-structure-v1
    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    Today
    NVIDIA
    nemotron-page-elements-v3
    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    Today
    NVIDIA
    nemotron-graphic-elements-v1
    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    Today
    NVIDIA
    llama-nemotron-embed-1b-v2
    Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
    Retrieval Augmented Generation
    Today
    NVIDIA
    gliner-pii
    GLiNER PII detects Personally Identifiable Information in text.
    PII Detection
    108
    1d
    Minimaxai
    minimax-m2.5
    MiniMax M2.5 is a 230B-parameter text-to-text AI model excelling in coding, reasoning, and office tasks.
    coding
    1.56M
    6d
    NVIDIA
    cosmos-transfer2.5-2b
    Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
    Synthetic Data Generation
    1w
    Qwen
    qwen3.5-397b-a17b
    Next-gen Qwen 3.5 VLM (400B MoE) brings advanced vision, chat, RAG, and agentic capabilities.
    MoE
    4.66M
    2w
    Z.ai
    glm5
    GLM-5 744B MoE enables efficient reasoning for complex systems and long-horizon agentic tasks.
    MoE
    5.4M
    2w
    NVIDIA
    llama-nemotron-embed-vl-1b-v2
    Multimodal question-answer retrieval representing user queries as text and documents as images.
    nemo retriever
    535K
    3w
    Minimaxai
    minimax-m2.1
    MiniMax M2.1 excels in multi-language coding, app/web dev, office AI, and agent integration
    Agentic
    7.8M
    1mo
    Stepfun-ai
    step-3.5-flash
    200B open-source reasoning engine with sparse MoE powering frontier agentic AI.
    Agentic
    6.25M
    1mo
    Moonshotai
    kimi-k2.5
    1T multimodal MoE for high‑capacity video and image understanding with efficient inference.
    Multimodal
    18.5M
    1mo
    Z.ai
    glm4.7
    GLM-4.7 is a multilingual agentic coding partner with stronger reasoning, tool use, and UI skills.
    Tool Calling
    16.75M
    1mo
    NVIDIA
    nemotron-content-safety-reasoning-4b
    A context‑aware safety model that applies reasoning to enforce domain‑specific policies.
    NeMo Guardrails
    415K
    1mo
    NVIDIA
    cosmos-reason2-8b
    Vision language model that excels in understanding the physical world using structured reasoning on videos or images.
    video understanding
    186K
    2mo
    NVIDIA
    nemoretriever-page-elements-v3
    Model for object detection, fine-tuned to detect charts, tables, and titles in documents.
    Object Detection
    682K
    2mo
    DeepSeek AI
    deepseek-v3.2
    State-of-the-art 685B reasoning LLM with sparse attention, long context, and integrated agentic tools.
    long context
    13.91M
    2mo
    NVIDIA
    nemotron-3-nano-30b-a3b
    Open, efficient MoE model with 1M context, excelling in coding, reasoning, instruction following, tool calling, and more
    MoE
    10.59M
    2mo
    NVIDIA
    riva-translate-4b-instruct-v1_1
    Translation model in 12 languages with few-shots example prompts capability.
    nvidia nim
    407K
    2mo
    Mistral AI
    devstral-2-123b-instruct-2512
    State-of-the-art open code model with deep reasoning, 256k context, and unmatched efficiency.
    coding
    4.46M
    2mo
    Moonshotai
    kimi-k2-thinking
    Open reasoning model with 256K context window, native INT4 quantization and enhanced tool use.
    Conversational
    2.83M
    2mo
    Mistral AI
    mistral-large-3-675b-instruct-2512
    A state-of-the-art general purpose MoE VLM ideal for chat, agentic and instruction based use cases.
    language generation
    4.43M
    3mo
    Mistral AI
    ministral-14b-instruct-2512
    A general purpose VLM ideal for chat and instruction based use cases
    language generation
    3.26M
    3mo
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