2 Repos
Awesome GitHub RepositoriesCode Infilling Models
Language models specifically optimized for predicting and inserting missing code sections.
Distinct from Code-Specific Language Models: Specializes the identity from general code-specific models to those optimized for infilling gaps.
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Awesome Code Infilling Models GitHub Repositories
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- meta-llama/codellama
meta-llama/codellama
16,307Auf GitHub ansehenCodeLlama is a family of large language models derived from the Llama 2 architecture and specialized for producing, completing, and refactoring source code across multiple programming languages. It functions as a code generation model capable of synthesizing source code from natural language descriptions. The project includes specific model variants designed for different programming tasks. This includes instruction-tuned models trained to follow complex natural language directions and code infilling models that predict and insert missing code segments into existing files by analyzing surroun
Provides specialized models optimized for predicting and inserting missing code sections into existing files.
Python - facebookresearch/codellama
facebookresearch/codellama
16,307Auf GitHub ansehenCode Llama is a large language model based on Llama 2 trained specifically for programming tasks and software development. It provides specialized model types optimized for general code generation, instruction following, and context-aware infilling. The project includes an instruction-tuned programming model for executing technical tasks via natural language prompts and a code infilling model that predicts missing sections based on surrounding source context. A large context code model is also provided to analyze extensive blocks of source code for improved coherence. The system covers capab
Provides a specialized model type for inserting missing code based on surrounding source context.
Python
