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Llama 3
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Llama 3 is a powerful large language model (LLM) developed and released by Meta (formerly Facebook) in April 2024. It is a state-of-the-art AI model that excels at language understanding, generation, and complex tasks like translation, code generation, and dialogue.

Overview

  • Llama 3 is available in two sizes - 8 billion parameters (8B) and 70 billion parameters (70B), with both pre-trained and instruction-tuned variants.
  • It has been trained on a massive dataset of over 15 trillion tokens, 7 times larger than Llama 2, including 4 times more code.
  • Llama 3 supports a context window of 8,192 tokens, double the capacity of Llama 2.
  • It utilizes advanced techniques like Grouped Query Attention for improved scalability and performance.

Capabilities

  • Llama 3 demonstrates state-of-the-art performance on various benchmarks, outperforming previous models like Llama 2 and GPT-3.
  • It excels at tasks like language understanding, reasoning, code generation, and instruction following.
  • The instruction-tuned variants are optimized for dialogue and chat use cases, outperforming many open-source chat models.

Availability and Usage

  • Llama 3 is openly available and can be downloaded from Meta's website or accessed through cloud platforms like Google Cloud, IBM, and AWS.
  • It can be run locally using open-source tools like GPT4All and Ollama, enabling integration into applications and development environments like VSCode.
  • Meta provides resources like a Getting Started Guide, Responsible Use Guide, and Model Card to facilitate safe and responsible usage.

Safety and Responsibility

  • Meta has implemented various safety measures, including Llama Guard 2 for content filtering and Code Shield for detecting insecure code.
  • The Responsible Use Guide outlines principles and recommendations for responsible development with LLMs.
  • Meta encourages thorough checking and filtering of inputs and outputs based on specific use cases and guidelines.

Llama 3 represents a significant advancement in the field of large language models, offering enhanced performance, scalability, and capabilities across a wide range of tasks. Its open availability and resources from Meta aim to foster responsible development and innovation in AI.

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