Codellama

Codellama 13B - Details

Last update on 2025-05-20

Codellama 13B is a large language model developed by Code Llama, a company focused on enhancing coding capabilities. With 13b parameters, it is designed to excel in Python coding tasks. The model operates under the Llama 2 Community License Agreement (LLAMA-2-CLA) and the Llama Code Acceptable Use Policy (Llama-CODE-AUP), ensuring responsible usage while supporting a wide range of code-related applications.

Description of Codellama 13B

Codellama 13B is a large language model designed for code synthesis and understanding, part of a suite ranging from 7 billion to 34 billion parameters. It includes specialized variants such as Code Llama - Python for Python-specific tasks and Code Llama - Instruct for instruction-following and safer deployment. The base 13B version is available in Hugging Face Transformers format, offering flexibility for developers. Licensed under the Llama 2 Community License Agreement and Llama Code Acceptable Use Policy, it emphasizes responsible use while supporting a wide range of coding applications.

Parameters & Context Length of Codellama 13B

13b 100k

Codellama 13B is a large language model with 13b parameters, placing it in the mid-scale category, which offers a balance between performance and resource efficiency for moderate complexity tasks. Its 100k context length falls into the long context range, enabling it to handle extended texts effectively but requiring significant computational resources. This combination makes it well-suited for complex coding tasks while maintaining flexibility for diverse applications.

  • Parameter Size: 13b
  • Context Length: 100k

Possible Intended Uses of Codellama 13B

code generation assistant

Codellama 13B is a large language model designed for code synthesis and understanding, with possible applications in commercial use, research use, and specialized coding tasks. Its 13b parameter size and 100k context length suggest it could support possible use cases such as generating Python-specific code, assisting with instruction-following tasks, or enabling advanced code analysis. However, these possible uses require thorough investigation to ensure alignment with specific goals and constraints. The model’s flexibility makes it a candidate for possible applications in areas like software development, algorithm design, or educational tools, though its effectiveness in these domains remains to be validated through experimentation.

  • commercial use
  • research use
  • code synthesis and understanding
  • python-specific code handling
  • instruction-following code assistant

Possible Applications of Codellama 13B

educational tool code understanding research tool code assistant software development

Codellama 13B is a large language model with possible applications in areas such as software development, where it could assist with possible code generation or debugging. It might also support possible research initiatives by analyzing complex code structures or automating repetitive tasks. Possible uses in educational settings could involve teaching programming concepts or providing interactive coding exercises. Additionally, it could aid in possible automation workflows by handling Python-specific tasks or interpreting instructions for code execution. These possible applications require thorough evaluation to ensure they meet specific needs and constraints.

  • software development
  • research initiatives
  • educational tools
  • automation workflows

Quantized Versions & Hardware Requirements of Codellama 13B

16 vram

Codellama 13B’s medium q4 version balances precision and performance, requiring a GPU with at least 16GB VRAM for efficient operation, though specific needs may vary based on workload and optimization. This makes it suitable for systems with mid-range GPUs, but users should verify their hardware compatibility. The model’s 13b parameter size and q4 quantization reduce resource demands compared to higher-precision variants like fp16, while maintaining reasonable accuracy.

  • fp16, q2, q3, q4, q5, q6, q8

Conclusion

Codellama 13B is a large language model developed by Code Llama with 13b parameters, optimized for code synthesis and understanding, including Python-specific tasks and instruction-following. It supports a 100k context length and offers multiple quantized versions, making it adaptable for diverse coding applications while balancing performance and resource efficiency.

References

Huggingface Model Page
Ollama Model Page

Maintainer
Parameters & Context Length
  • Parameters: 13b
  • Context Length: 102K
Statistics
  • Huggingface Likes: 109
  • Huggingface Downloads: 9K
Intended Uses
  • Commercial Use
  • Research Use
  • Code Synthesis And Understanding
  • Python-Specific Code Handling
  • Instruction-Following Code Assistant
Languages
  • English