CodeGen-16B-Multi
| Property | Value |
|---|---|
| Author | Salesforce |
| License | BSD-3-Clause |
| Parameters | 16 Billion |
| Research Paper | View Paper |
| Training Data | 119.2B tokens from multiple programming languages |
What is codegen-16B-multi?
CodeGen-16B-Multi is a sophisticated autoregressive language model specifically designed for program synthesis. Developed by Salesforce, it represents the largest variant (16B parameters) of the CodeGen family, trained on a massive dataset of multiple programming languages including C, C++, Go, Java, JavaScript, and Python. The model was first initialized with CodeGen-NL 16B and then further pre-trained on GitHub repository data from BigQuery.
Implementation Details
The model leverages advanced transformer architecture and was trained using multiple TPU-v4-512 systems, implementing both data and model parallelism. It utilizes cross-entropy loss for optimization and can be easily integrated using the Hugging Face transformers library's AutoModelForCausalLM functionality.
- Trained on 119.2B tokens of multi-language programming data
- Implements state-of-the-art transformer architecture
- Optimized for program synthesis tasks
- Supports multiple programming languages
Core Capabilities
- Generate executable code from English prompts
- Complete partially-generated code segments
- Process both natural language and programming language inputs
- Calculate likelihood of code sequences
Frequently Asked Questions
Q: What makes this model unique?
CodeGen-16B-Multi stands out due to its massive scale (16B parameters) and multi-language training approach. It's specifically optimized for converting natural language descriptions into executable code, making it particularly effective for program synthesis tasks.
Q: What are the recommended use cases?
The model excels at program synthesis tasks, particularly when provided with English prompts in the form of comment strings. It's ideal for code generation, code completion, and converting natural language descriptions into functional code across multiple programming languages.
