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    Transformers.jl

    Transformers.jl

    Julia Implementation of Transformer models

    Transformers.jl is a Julia library that implements Transformer models for natural language processing tasks. Inspired by architectures like BERT, GPT, and T5, the library offers a modular and flexible interface for building, training, and using transformer-based deep learning models. It supports training from scratch and fine-tuning pretrained models, and integrates with Flux.jl for automatic differentiation and optimization.
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    Colossal-AI

    Colossal-AI

    Making large AI models cheaper, faster and more accessible

    ...This imposes challenges to the memory wall of the current accelerator hardware such as GPU. It is never ideal to train large models such as Vision Transformer, BERT, and GPT on a single GPU or a single machine. There is an urgent demand to train models in a distributed environment. However, distributed training, especially model parallelism, often requires domain expertise in computer systems and architecture. It remains a challenge for AI researchers to implement complex distributed training solutions for their models. ...
    Downloads: 0 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: 0 This Week
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  • 4
    Transformers-Interpret

    Transformers-Interpret

    Model explainability that works seamlessly with Hugging Face

    Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance.
    Downloads: 0 This Week
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  • 5
    OpenDelta

    OpenDelta

    A plug-and-play library for parameter-efficient-tuning

    OpenDelta is an open-source parameter-efficient fine-tuning library that enables efficient adaptation of large-scale pre-trained models using delta tuning techniques. OpenDelta is a toolkit for parameter-efficient tuning methods (we dub it as delta tuning), by which users could flexibly assign (or add) a small amount parameters to update while keeping the most parameters frozen. By using OpenDelta, users could easily implement prefix-tuning, adapters, Lora, or any other types of delta tuning...
    Downloads: 0 This Week
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  • 6
    KoGPT

    KoGPT

    KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

    KoGPT is a Korean language model based on OpenAI’s GPT architecture, designed for various natural language processing (NLP) tasks such as text generation, summarization, and dialogue systems.
    Downloads: 0 This Week
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  • 7
    TurboTransformers

    TurboTransformers

    Fast and user-friendly runtime for transformer inference

    TurboTransformers is a high-performance inference framework optimized for running Transformer models efficiently on CPUs and GPUs. It improves latency and throughput for NLP applications.
    Downloads: 0 This Week
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