3 projects for "linux device driver project" with 2 filters applied:

  • Veeam Data Platform v13.1 Icon
    Veeam Data Platform v13.1

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    Train ML Models With SQL You Already Know

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  • 1
    MobileCLIP

    MobileCLIP

    Implementation of "MobileCLIP" CVPR 2024

    MobileCLIP is a family of efficient image-text embedding models designed for real-time, on-device retrieval and zero-shot classification. The repo provides training, inference, and evaluation code for MobileCLIP models trained on DataCompDR, and for newer MobileCLIP2 models trained on DFNDR. It includes an iOS demo app and Core ML artifacts to showcase practical, offline photo search and classification on iPhone-class hardware. Project notes highlight latency/accuracy trade-offs, with...
    Downloads: 0 This Week
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  • 2
    Cactus Needle

    Cactus Needle

    26m function call model that runs on incredibly small devices

    Needle is an experimental 26-million-parameter function-calling model designed to run on extremely small devices such as phones, watches, glasses, and low-power personal AI hardware. It is based on a Simple Attention Network architecture and was distilled from a much larger model to focus on fast, compact tool-use behavior. The project provides open weights, training details, dataset generation resources, and a playground for testing the model with custom tools. Needle is optimized for...
    Downloads: 0 This Week
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  • 3
    HY-MT

    HY-MT

    Hunyuan Translation Model Version 1.5

    HY-MT (Hunyuan Translation) is a high-quality multilingual machine translation model suite developed to support mutual translation across dozens of languages with strong performance even at smaller model scales. It ships with both an 1.8 B parameter model and a larger 7 B model, the latter optimized not only for direct translation but also for formatted and contextualized output, allowing better handling of terminology and mixed-language content. The project emphasizes both speed and...
    Downloads: 2 This Week
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