codellama-34b-instruct

Harnessing Together AI and CodeLlama-34b-Instruct for Advanced Code Synthesis

Tal Peretz

— 1 min read
Harnessing Together AI and CodeLlama-34b-Instruct for Advanced Code Synthesis

The Code Llama 34B Instruct model, developed by Meta, is a robust tool for code synthesis and understanding. Fine-tuned to follow instructions and generate safe, helpful responses, this model excels in tasks like code completion, infilling, and chat, particularly with Python and other programming languages.

Model Overview

The Code Llama 34B Instruct variant is part of a family of large language models designed for general code tasks. It’s optimized to provide instruction-following capabilities, making it ideal for generating reliable and contextually appropriate responses.

Training and Architecture

This model employs an auto-regressive approach using a refined transformer architecture. Trained on 500 billion tokens of code from January 2023 to July 2023, it’s well-equipped to handle a wide array of code-related tasks.

Using Code Llama with Together.AI

To integrate the Code Llama 34B Instruct model with Together.AI, install the pyautogen package and configure your API key:

{
  "model": "codellama/CodeLlama-34b-Instruct-hf",
  "api_key": "your Together.AI API Key goes here",
  "api_type": "together"
}

With this setup, you can use the Together.AI API to interact with the model seamlessly.

Configurable Parameters

Together.AI allows you to fine-tune various parameters to optimize model performance:

  • max_tokens
  • temperature
  • top_p
  • top_k
  • repetition_penalty
  • frequency_penalty
  • presence_penalty

Safety and Ethical Considerations

While the Code Llama 34B Instruct model is tuned for safety, it’s crucial to perform tailored safety testing to mitigate risks of generating inaccurate or objectionable content.

Performance and Benchmarks

In benchmarks like HumanEval and MBPP, the Code Llama 34B has demonstrated superior performance, often surpassing other open-source code-specific LLMs and matching the capabilities of models like ChatGPT.

Integration and Deployment

Together.AI offers flexible deployment options, including serverless and dedicated instances, and supports fine-tuning with proprietary data. This flexibility ensures efficient and cost-effective use of the Code Llama 34B Instruct model for diverse code synthesis applications.

By leveraging these features, you can maximize the potential of the Code Llama 34B Instruct model through the Together.AI platform for advanced code synthesis and understanding tasks.

Read more