2 pointsby dataversity5 hours ago10 comments
  • dataversity5 hours ago
    Hi folks, I’ve been working on llmpm, a CLI tool that makes open-source LLMs installable like packages. The idea came from the frustration of trying to run different models locally. Every model tends to have slightly different instructions, dependencies, or runtimes. I wanted something that worked more like npm or pip, install a model and run it immediately. With llmpm you can do things like:

    llmpm install llama3

    llmpm run llama3

  • dataversity4 hours ago
    Some of the features llmpm supports today:

    • Install and run open-source models (almost all Hugging Face models)

    • Package models with projects so environments are reproducible

    • Serve models through an OpenAI compatible API

    • Built-in chat UI for interacting with running models

    • CLI workflow designed for developers

    • Model benchmarking and rankings to help choose models Example:

    llmpm serve llama3

    This exposes an API endpoint similar to:

    http://localhost:8080/v1/chat/completions

  • dataversity4 hours ago
    The goal is to make working with local models easier for developers, especially when experimenting with different models or sharing setups with others.

    Would love to hear back from the community

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