# Autoregressive Architecture

Code Llama is a series of pre-trained generative text models released by Meta, specifically designed for code generation and understanding tasks. This model is a 34-billion-parameter Python-specific version.

Code Llama is a series of code generation and understanding models released by Meta, ranging from 7 billion to 34 billion parameters. This version is the 34 billion parameter base model.

Code Llama is a series of large models for code generation and understanding developed by Meta. This version is a 13B-parameter variant specialized for Python.

Code Llama 13B is a 13-billion-parameter generative code model designed for general-purpose code synthesis and understanding

LLaMA is an efficient foundational language model based on the Transformer architecture developed by Meta AI, offering a 7B parameter version that supports multiple language processing tasks.

LLaMA is an open and efficient foundational language model developed by Meta AI, offering a 7B-parameter version that supports 20 languages, focusing on natural language processing research.

An open-source, efficient foundational language model with 7B parameters developed by Meta AI, based on Transformer architecture, supporting multilingual capabilities with a primary focus on English