Code Llama

Model Overview

Description:

Code Llama is a large language AI model built from a collection of models capable of generating code in response to prompts. It is based on Llama 2.

Terms of use

By accessing this model, you are agreeing to the LLama 2 Terms and Conditions of the License, Acceptable Use Policy and Meta’s Privacy Policy

References(s):

• Code Llama: Open Foundation Models for Code paper
  
• Meta's Code Llama model card
  

Model Architecture:

Architecture Type: Transformer
Network Architecture: Llama 2

Input:

Input Format: Text
Input Parameters: Temperature, Top P (Nucleus Sampling)

Output:

Output Format: Text (code)
Output Parameters: Max Output Tokens

Software Integration:

Supported Hardware Platform(s): Hopper, Ampere/Turing
Supported Operating System(s): Linux

Training & Finetuning:

Dataset:

Near-deduplicated dataset of publicly available code, propriety of Meta. 8% of samples data are sourced from natural language datasets related to code and containing discussions about code and code snippets included in natural language questions or answers. To help the model retain natural language understanding skills, dataset also inclues a small proportion of batches from a natural language dataset.

Inference:

Engine: Triton
Test Hardware: Other