CodeLlama-34B-instruct

CodeLlama-34b-Instruct-hf is an advanced generative text model developed by Meta, specifically designed for code synthesis and understanding. This AI-powered tool assists developers, data scientists, and researchers in various code-related tasks, including code completion, infilling, and natural language interaction for solving coding problems.

Key features:
- Code Completion: Predicts and suggests the next lines of code based on the provided context, enhancing coding efficiency.
- Infilling: Fills in missing code segments within a given code block, improving code robustness and functionality.
- Instructions/Chat: Interprets natural language queries and instructions, enabling conversational interaction for coding problem-solving.
- Python Specialization: Demonstrates particular proficiency in handling Python code, making it especially valuable for Python developers.

How it works:
1. Install necessary libraries (transformers and accelerate) via pip.
2. Input text or code into the model.
3. The model processes the input using an optimized transformer architecture.
4. The model generates text or code output based on the input and its training.

Integrations: Hugging Face's Transformers library

Use of AI: CodeLlama-34b-Instruct-hf utilizes generative AI techniques to understand and generate code. It operates on an auto-regressive language model pattern, allowing it to comprehend context and produce relevant code or text responses.

AI foundation model: The model is built on an optimized transformer architecture, part of Meta's Code Llama family. It has been trained on a vast dataset to understand and generate code, utilizing custom libraries and Meta's Research Super Cluster.

Target users:
- Developers
- Data scientists
- Researchers working on code generation, understanding, or enhancement projects

How to access: The model is available as a web-based application through the Hugging Face platform, eliminating the need for local installation of the entire model.

Model variants:
- Part of the Code Llama collection
- Models range from 7 billion to 34 billion parameters
- 34B instruct-tuned version is tailored for instruction following and safer deployment

Licensing: The model is governed by a Meta license and is publicly available for use, but it is not open source in the traditional sense.