Meta Llama 3

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • llama3

    The official Meta Llama 3 GitHub site

  • https://github.com/meta-llama/llama3/blob/main/LICENSE

    Llama is not open source. It's corporate freeware with some generous allowances.

    Open source licenses are a well defined thing. Meta marketing saying otherwise doesn't mean they get to usurp the meaning of a well understood and commonly used understanding of the term "open source."

    https://opensource.org/license

    Nothing about Meta's license is open source. It's a carefully constructed legal agreement intended to prevent any meaningful encroachment by anyone, ever, into any potential Meta profit, and to disavow liability to prevent reputational harm in the case of someone using their freeware for something embarrassing.

    If you use it against the license anyway, you'll just have to hope you never get successful enough that it becomes more profitable to sue you and take your product away than it would be annoying to prosecute you under their legal rights. When the threshold between annoying and profitable is crossed, Meta's lawyers will start sniping and acquiring users of their IP.

  • promptfoo

    Discontinued Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. [Moved to: https://github.com/promptfoo/promptfoo] (by typpo)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • plandex

    An AI coding engine for building complex, real-world software with LLMs

  • I'm building Plandex (https://github.com/plandex-ai/plandex), which currently uses the OpenAI api--I'm working on support for Anthropic and OSS models right now and hoping I can ship it later today.

    You can self-host it so that data is only going to the model provider (i.e. OpenAI) and nowhere else, and it gives you fine-grained control of context, so you can pick and choose exactly which files you want to load in. It's not going to pull in anything in the background that you don't want uploaded.

    There's a contributor working on integration with local models and making some progress, so that will likely be an option the future as well, but for now it should at least be a pretty big improvement for you compared to the copy-paste heavy ChatGPT workflow.

  • DeepSeek-Coder

    DeepSeek Coder: Let the Code Write Itself

  • deepseek-coder-instruct 6.7B still looks like is better than llama 3 8B on HumanEval [0], and deepseek-coder-instruct 33B still within reach to run on 32 GB Macbook M2 Max - Lamma 3 70B on the other hand will be hard to run locally unless you really have 128GB ram or more. But we will see in the following days how it performs in real life.

    [0] https://github.com/deepseek-ai/deepseek-coder?tab=readme-ov-...

  • torchtune

    A Native-PyTorch Library for LLM Fine-tuning

  • Integration with https://github.com/pytorch/torchtune

  • OLMo

    Modeling, training, eval, and inference code for OLMo

  • Olmo from AI2. They released the model weights plus training data and training code.

    link: https://allenai.org/olmo

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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