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Llama (large language model meta ai) [a] is a family of large language models (llms) released by meta ai starting in february 2023

[3] the latest version is llama 4, released in april 2025 [4] llama models come in different sizes, ranging from 1 billion to 2 trillion parameters These models are released under the custom llama 4 community license agreement, available on the model repositories. Our latest version of llama is now accessible to individuals, creators, researchers, and businesses of all sizes so that they can experiment, innovate, and scale their ideas responsibly Conclusions the evolution of the llama models shows a steady trajectory of innovation aimed at improving efficiency, performance, and versatility in llms Starting with llama 1, which introduced foundational changes like input normalization with rmsnorm and smoother activation functions, each subsequent version has built upon these advancements.

Meta has released three major versions of its large language model (llm), llama, along with a minor (if we can call it that) update (version 3.1) Meta has consistently contributed to this community by. Input models input text only Output models generate text and code only Final thoughts llama 3.2 is a decent step forward in meta’s ai llm offerings, building on the strengths of llama 3.1 and expanding its capabilities for both edge devices and complex multimodal tasks. Llama 3.1 aims to boost efficiency, introduce new features, and provide better scalability

We will compare llama 3 and llama 3.1, helping you understand the improvements, strengths, and ideal use cases for each version

The llama 3.3 model also supports the ability to leverage the outputs of its models to improve other models including synthetic data generation and distillation The llama 3.3 community license allows for these use cases Meta has announced the newest addition to its llama family of generative ai models It claims its more performant — and cheaper. Inference code for llama models This is the first multimodal version of the.

We’re on a journey to advance and democratize artificial intelligence through open source and open science. Meta llama 3.1 llama 3.1 family of models available The upgraded versions of the 8b and 70b models are multilingual and have a significantly longer context length of 128k. The meta llama 3.3 multilingual large language model (llm) is a pretrained and instruction tuned generative model in 70b (text in/text out) The llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks

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