CodeLlama-70B-instruct

Code Llama is a collection of pretrained and fine-tuned generative text models developed by Meta, specifically designed for code synthesis and understanding. These models support various tasks such as code completion, infilling, and instruction following, with a particular focus on Python programming.

Key features:
- Model Variants: Includes base models for general code synthesis, Python-specific models, and instruction-following models for safer deployment.
- Model Sizes: Available in four sizes ranging from 7 billion to 70 billion parameters.
- Code Completion: Predicts the next segment of code based on the given context.
- Infilling: Fills in missing parts of code.
- Instructions/Chat: Follows instructions and engages in chat-based interactions.
- Python Specialization: Optimized for Python code generation and understanding.
- Token Support: Fine-tuned with up to 16k tokens and supports up to 100k tokens at inference time.

How it works:
1. Install the required libraries: transformers and accelerate.
2. Input text, such as a partial code snippet or instruction.
3. The model processes the input using its auto-regressive language model architecture.
4. The model generates text output, completing code or responding to instructions.

Integrations:
Compatible with systems that support the Hugging Face Transformers library

Use of AI:
Code Llama utilizes generative artificial intelligence through its auto-regressive language model architecture based on the transformer model.

AI foundation model:
The foundation model for Code Llama is part of the Llama family of large language models developed by Meta.

Target users:
- Developers seeking assistance with code completion and generation
- Researchers studying and improving code synthesis models
- Companies integrating advanced code understanding and generation capabilities into their products

How to access:
Users can access Code Llama through the Hugging Face platform as a model in the Hugging Face Transformers library.

Technical specifications:
- Input: Text only
- Output: Text only
- Architecture: Auto-regressive language model using an optimized transformer architecture

Licensing:
Code Llama is available under a custom commercial license provided by Meta. It is not open source.