Showing 3 open source projects for "double-entry"

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  • 1
    LLM Foundry

    LLM Foundry

    LLM training code for MosaicML foundation models

    Introducing MPT-7B, the first entry in our MosaicML Foundation Series. MPT-7B is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B. MPT-7B was trained on the MosaicML platform in 9.5 days with zero human intervention at a cost of ~$200k. Large language models (LLMs) are changing the world, but for those outside well-resourced industry labs, it can be extremely difficult to train and deploy these models. ...
    Downloads: 8 This Week
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  • 2
    ollama_manager_gui

    ollama_manager_gui

    A graphical manager for ollama that can manage your LLMs

    This app will help install ollama and LLMs using the gui provided by this app. It checks for ollama when launched and if it doesn't exist it will help by bringing you to the ollama site for download. This app is heavily upgraded and now also works properly on Linux. It now has progress bars and many many many improvements. It can launch the LLM by clicking the link. it can launch multiple LLMs in separate windows. It can also remove an installed LLM. There is a confirmation...
    Downloads: 4 This Week
    Last Update:
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  • 3
    LLaMA.go

    LLaMA.go

    llama.go is like llama.cpp in pure Golang

    ...The code of the project is based on the legendary ggml.cpp framework of Georgi Gerganov written in C++ with the same attitude to performance and elegance. Both models store FP32 weights, so you'll needs at least 32Gb of RAM (not VRAM or GPU RAM) for LLaMA-7B. Double to 64Gb for LLaMA-13B.
    Downloads: 0 This Week
    Last Update:
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