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July 23rd, 2024

Why Llama 3.1 is Important

Meta's new Llama 3.1 405B model prioritizes data sovereignty, open-source accessibility, cost savings, independence, and advanced customization. It aims to boost AI innovation by empowering companies with control and flexibility.

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Why Llama 3.1 is Important

Meta's announcement of the new Llama 3.1 405B model is significant for several reasons. Firstly, the emphasis on data sovereignty addresses concerns about data privacy and security, allowing companies to run and train models without sharing sensitive information. Secondly, the open-source nature of Llama 3.1 offers cost savings by avoiding fees associated with proprietary AI models. Additionally, independence is highlighted as companies can innovate freely without being restricted by external policies. The customizable features of Llama 3.1 enable advanced functionalities like representation engineering and knowledge distillation. Overall, the release of Llama 3.1 is expected to drive innovation in the AI industry by providing companies with more control and flexibility in their AI strategies.

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Meta Llama 3.1 405B

Meta Llama 3.1 405B

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Link Icon 10 comments
By @chenzhekl - 4 months
Stating independence as the advantage of Llama 3.1 is a bit funny. Without the huge amount of computational resources from Meta, Llama 3.1 won't be possible. We are still dependent on certain big companys' "good" willness to be able to enjoy the benefits of open source.
By @simonw - 4 months
I just got Llama 3.1 GGUFs working on my Mac laptop with a new plugin for my LLM CLI tool: https://llm.datasette.io/

Here's information on the new plugin: https://simonwillison.net/2024/Jul/23/llm-gguf/

Once you've installed LLM ("brew install llm" or "pipx install llm" or "pip install llm") you can try the new plugin like this:

    llm install llm-gguf
    llm gguf download-model \
      https://huggingface.co/lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF/resolve/main/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf \
      --alias llama-3.1-8b-instruct --alias l31i

    llm -m l31i "five great names for a pet lemur"
This is using the GGUF version of Llama 3.1 8B Instruct from here: https://huggingface.co/lmstudio-community/Meta-Llama-3.1-8B-...
By @RockyMcNuts - 4 months
Does the community license let companies fine-tune it or retrain it for their use cases?

There are significant restrictions on it so it's not fully open-source, but maybe it's only a real problem for Google and OpenAI and Microsoft.

Open source has turned into a game of, what's the most commercial value I can retain, while still calling it open-source and benefiting from the trust and marketing value of the 'open source' branding.

By @eureka-belief - 4 months
The last section is the most important. There’s a massive difference between what you can do with the text output of an LLM versus being able to know and play with the individual weights, depending on your use case.
By @ssahoo - 4 months
Written by llama3 or chatgpt?
By @Havoc - 4 months
Excited about this - though probably more the 70B than 405B because its also really good & will be accessible for cheap & in bulk.

btw pretty sure nobody is creating adapters for a 405B with a laptop and a weekend ;)

By @impure - 4 months
I used to think it was cheaper. But according to https://llama.meta.com/ GPT-4o Mini is actually cheaper most of the time.