# Code Completion

Seed-Coder is an 8B-scale open-source code model family, including base, instruction, and inference versions, focusing on code generation and completion tasks.

CodeBERTa is a code understanding model based on the RoBERTa architecture, specifically trained for multiple programming languages, capable of efficiently handling code-related tasks.

CodeGemma is a collection of lightweight open-source code models built on Gemma, supporting various tasks such as code completion, generation, and dialogue.

CodeGemma is a lightweight open-source collection of code models based on Gemma, specializing in code generation, completion, and conversational tasks.

CodeGemma is a series of lightweight open-source code models based on Gemma, focusing on code completion and generation tasks.

CodeGemma is a lightweight open-source code model series based on Gemma, focusing on code completion, generation, and conversational tasks.

CodeGemma is a lightweight open-source code model series based on Gemma, featuring text-to-text and text-to-code decoder models, specializing in code completion and generation tasks.

A multi-head attention code generation model with 1.3 billion parameters, trained on 1 trillion tokens, supporting code completion tasks with a 16K window

A 2.7 billion parameter code generation model developed by Replit, supporting 20 programming languages

CodeBERT is a pre-trained model for programming languages and natural languages, based on the RoBERTa architecture and trained with the Masked Language Modeling (MLM) objective.