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| Meta's Llama 3.1 405B: The Most Advanced and Capable Large Language Model Competing with OpenAI and Anthropic Image credit: Medium |
Meta has unveiled its most powerful large language model to date, Llama 3.1 405B, which it claims rivals top models from OpenAI and Anthropic. Trained on over 15 trillion tokens using 16,000 Nvidia H100 GPUs, Llama 3.1 405B required 30.84 million GPU hours and generated 11,390 tons of CO2 emissions. Despite these substantial resources, Meta asserts this level of computing power was essential for meaningful training.
The Llama 3.1 405B model, with 405 billion parameters, generates responses from input prompts and outperforms larger proprietary systems in various benchmarks, according to Meta. Although smaller than some competitors, running the model at full 16-bit precision demands around 810GB of memory, more than a single Nvidia DGX H100 system can handle. To address this, Meta has released an 8-bit quantized version that reduces the memory requirement by half.
In addition to Llama 3.1 405B, Meta has rolled out updates to its Llama 3 family, including the original 8B and 70B models. These models now support eight languages and feature an expanded 128,000 token context window, significantly increasing their capacity to hold information during response generation without compromising model quality.
Meta also outlined its future vision for the Llama models, emphasizing their integration into a broader system for developers to create custom applications. This includes releasing a reference system with sample apps and components like the Llama Guard 3 safety model and Prompt Guard, a prompt-injection filter. Meta is actively seeking feedback from industry partners, startups, and the community to shape its AI direction, with the goal of establishing standardized interfaces for toolchain components and agentic applications through crowdsourcing efforts.
Furthermore, Meta has modified Llama's license structure to permit developers to use outputs from Llama models to enhance other models, such as generating synthetic data for training. CEO Mark Zuckerberg highlighted the importance of open AI development, drawing parallels to the open-source success of the Linux kernel over proprietary Unix systems.
Despite some past controversies over Llama's licensing, Meta's commitment to open AI development remains steadfast. The trio of Llama 3.1 models is now available for download on both Hugging Face and Meta's website, providing developers with robust tools to advance AI capabilities.
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