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  • 1
    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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  • 2
    Haystack

    Haystack

    Haystack is an open source NLP framework to interact with your data

    ...Perform semantic search and retrieve ranked documents according to meaning, not just keywords! Make use of and compare the latest pre-trained transformer-based languages models like OpenAI’s GPT-3, BERT, RoBERTa, DPR, and more. Pick any Transformer model from Hugging Face's Model Hub, experiment, find the one that works. Use Haystack NLP components on top of Elasticsearch, OpenSearch, or plain SQL. Boost search performance with Pinecone, Milvus, FAISS, or Weaviate vector databases, and dense passage retrieval.
    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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    $300 Free Credits to Build on Google Cloud

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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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    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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