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What does it do?

  • Code Completion
  • Code Infilling
  • Code Generation
  • Python Development
  • Programming Assistance

How is it used?

  • Install libraries
  • input code text
  • receive code completions.
  • 1. Install libraries w/ pip
  • 2. Input text
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Who is it good for?

  • AI Researchers
  • Data Scientists
  • Software Developers
  • Python Programmers
  • Coding Enthusiasts

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    Meta
  • Released On

    2019-05-16

CodeLlama-34b-Instruct-hf is a generative text model developed by Meta, designed for code synthesis and understanding. This AI-powered tool assists developers and researchers in various coding tasks, including code completion, infilling, and interpreting natural language instructions related to programming.

Key features:
- Code Completion: Predicts and suggests next lines of code based on context
- Infilling: Fills in missing code segments within existing code blocks
- Natural Language Interaction: Interprets and responds to coding-related queries in conversational language
- Python Specialization: Particularly adept at handling Python code
- Multi-language Support: Capable of working with various programming languages

How it works:
1. Install required libraries (transformers and accelerate)
2. Input text or code snippet into the model
3. Model processes input using its transformer architecture
4. Generate output based on the input and model's training

Integrations:
- Compatible with applications supporting Hugging Face's Transformers library

Use of AI:
- Employs generative AI techniques for code generation and understanding
- Utilizes an optimized transformer architecture for processing and generating text

AI foundation model:
- Part of Meta's Code Llama family
- Trained on a vast dataset of code and programming-related content
- Developed using custom libraries and Meta's Research Super Cluster

Target users:
- Developers
- Data scientists
- Researchers working on code-related projects

How to access:
- Available as a web-based application through the Hugging Face platform

Model specifications:
- 34 billion parameters
- Instruction-tuned for improved safety and deployment in commercial and research environments
- Trained between January 2023 and July 2023

Licensing:
- Governed by a Meta license
- Publicly available for use, but not open-source in the traditional sense

  • Supported ecosystems
    Meta, Meta, Hugging Face
  • What does it do?
    Code Completion, Code Infilling, Code Generation, Python Development, Programming Assistance
  • Who is it good for?
    AI Researchers, Data Scientists, Software Developers, Python Programmers, Coding Enthusiasts

PRICING

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Pricing model: Unknown

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