Run the strongest open-source LLM model: Llama3 70B with just a single 4GB GPU
The article discusses the release of open-source Llama3 70B model, highlighting its performance compared to GPT-4 and Claude3 Opus. It emphasizes training enhancements, data quality, and the competition between open and closed-source models.
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The article discusses the release of the open-source LLM model Llama3, specifically the 70B version, which can be run on a single 4GB GPU using AirLLM. It compares Llama3's performance to GPT-4 and highlights its key technology advancements. The piece provides instructions on running Llama3 70B and emphasizes its suitability for data processing rather than real-time interactions. Llama3 70B is noted to be competitive with GPT-4 and Claude3 Opus, especially when comparing similarly sized models. The core improvements in Llama3 include training enhancements like model alignment training based on DPO and a significant increase in training data quantity and quality. The article also touches on the ongoing competition between open-source and closed-source models, emphasizing the importance of an open culture for AI development. It concludes by highlighting the significance of data quality in training AI models and the challenges of monetizing investments in large models. The author expresses a commitment to following AI advancements and sharing open-source work.
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11 commentsWell I'm definitely worried about recall and all the Microsoft nonsense, I really want to be able to run and train LMMs, and other machine learning frameworks locally.
> Of course, it would be more reasonable to compare the similarly sized 400B models with GPT4 and Claude3 Opus
No. It's completely irrelevant to the topic of the article.
The article is mostly a press release for llama 3. It also contains a few comments by the author, they aren't bad but don't save the clickbaity, buzzy, sensationalist core.
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