Showing 5 open source projects for "ibhamlib-4.dll"

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  • 1
    Curated Transformers

    Curated Transformers

    PyTorch library of curated Transformer models and their components

    ...Supports state-of-the-art transformer models, including LLMs such as Falcon, Llama, and Dolly v2. Implementing a feature or bugfix benefits all models. For example, all models support 4/8-bit inference through the bitsandbytes library and each model can use the PyTorch meta device to avoid unnecessary allocations and initialization.
    Downloads: 8 This Week
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  • 2
    DeepSpeed

    DeepSpeed

    Deep learning optimization library: makes distributed training easy

    ...Train/Inference dense or sparse models with billions or trillions of parameters 2. Achieve excellent system throughput and efficiently scale to thousands of GPUs 3. Train/Inference on resource constrained GPU systems 4. Achieve unprecedented low latency and high throughput for inference 5. Achieve extreme compression for an unparalleled inference latency and model size reduction with low costs DeepSpeed offers a confluence of system innovations, that has made large scale DL training effective, and efficient, greatly improved ease of use, and redefined the DL training landscape in terms of scale that is possible. ...
    Downloads: 8 This Week
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  • 3
    AutoGPTQ

    AutoGPTQ

    An easy-to-use LLMs quantization package with user-friendly apis

    AutoGPTQ is an implementation of GPTQ (Quantized GPT) that optimizes large language models (LLMs) for faster inference by reducing their computational footprint while maintaining accuracy.
    Downloads: 10 This Week
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  • 4
    LLaVA

    LLaVA

    Visual Instruction Tuning: Large Language-and-Vision Assistant

    Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.
    Downloads: 6 This Week
    Last Update:
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  • 5
    llama2-webui

    llama2-webui

    Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere

    Running Llama 2 with gradio web UI on GPU or CPU from anywhere (Linux/Windows/Mac).
    Downloads: 0 This Week
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