h2oai/h2ogpt-16k-codellama-13b-python

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:13BQuant:FP8Ctx Length:4kPublished:Aug 24, 2023License:llama2Architecture:Transformer0.0K Open Weights Warm

The h2oai/h2ogpt-16k-codellama-13b-python model is a 13 billion parameter Code Llama-based language model developed by H2O.ai. It is specifically fine-tuned for Python code generation and understanding, offering enhanced performance for programming-related tasks. This model is designed for developers requiring a robust assistant for Python development within a 4096-token context window.

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H2O.ai's h2ogpt-16k-codellama-13b-python: A Python-Centric Code LLM

The h2oai/h2ogpt-16k-codellama-13b-python model is a specialized large language model (LLM) built upon the Code Llama architecture, developed by H2O.ai. With 13 billion parameters, this model is meticulously fine-tuned to excel in Python programming tasks, making it a powerful tool for developers. Its primary focus is on generating, understanding, and assisting with Python code, leveraging its foundational Code Llama capabilities.

Key Capabilities

  • Python Code Generation: Highly optimized for producing accurate and idiomatic Python code snippets, functions, and scripts.
  • Code Understanding: Capable of interpreting and explaining existing Python code, assisting with debugging, and suggesting improvements.
  • Code Llama Foundation: Benefits from the robust architecture of Code Llama, providing a strong base for its specialized Python performance.
  • Parameter Efficiency: At 13 billion parameters, it offers a balance between performance and computational requirements for code-centric applications.

Good For

  • Software Development: Assisting Python developers with writing new code, refactoring, and understanding complex logic.
  • Educational Purposes: Helping students and new programmers learn Python by generating examples and explanations.
  • Automated Scripting: Creating automated scripts and utilities in Python based on natural language instructions.
  • Code Review Assistance: Providing suggestions and identifying potential issues in Python codebases.

Popular Sampler Settings

Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.

temperature
top_p
top_k
frequency_penalty
presence_penalty
repetition_penalty
min_p