open sourcecode

CodeGen2.5 7B

Open-source 7B model for efficient code generation and synthesis.

Developed by Salesforce Research

Official Site
7BParams
YesAPI Available
stableStability
1.0Version
Apache 2.0License
PyTorchFramework
NoRuns Locally
Real-World Applications
  • Automated code generationOptimized Capability
  • Code completionOptimized Capability
  • Bug detectionOptimized Capability
  • Refactoring and optimization tasksOptimized Capability
Implementation Example
Example Prompt
Generate a Python function that sorts a list of integers.
Model Output
"def sort_list(int_list):\n return sorted(int_list)"
Advantages
  • ✓ High capacity with 7 billion parameters enhances code generation accuracy.
  • ✓ Open-source availability encourages community contributions and custom modifications.
  • ✓ Optimized for complex coding tasks and multi-language support.
Limitations
  • ✗ Relatively larger model size may require substantial computational resources.
  • ✗ Performance variability with less common programming languages.
  • ✗ Limited documentation might hinder adoption for some users.
Model Intelligence & Architecture

Technical Documentation

CodeGen2.5 7B, developed by Salesforce Research, excels in generating code, completing coding tasks, and providing infill solutions across various programming languages. Its open-source nature allows for collaboration and enhancement, making it suitable for researchers and developers alike.

Technical Specification Sheet
Technical Details
Architecture
Causal Decoder-only Transformer
Stability
stable
Framework
PyTorch
Signup Required
No
API Available
Yes
Runs Locally
No
Release Date
2025-06-08

Best For

Developers looking for comprehensive coding assistance in various languages.

Alternatives

GitHub Copilot, OpenAI Codex, TabNine

Pricing Summary

Free to use under open-source licensing.

Compare With

CodeGen2.5 7B vs GitHub CopilotCodeGen2.5 7B vs OpenAI CodexCodeGen2.5 7B vs TabNineCodeGen2.5 7B vs Hugging Face Transformers

Explore Tags

#code#ai-models

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