Mellum-4b-base

Overview of Mellum-4b-base

Mellum-4b-base is JetBrains' inaugural open-source large language model specifically engineered for code-related tasks. This 4-billion parameter model, built on a LLaMA-style architecture, excels at code completion across multiple programming languages. Trained on over 4.2 trillion tokens from comprehensive datasets including The Stack, StarCoder, and CommitPack, Mellum delivers intelligent code suggestions with an 8,192-token context window. The model is optimized for both cloud inference via vLLM and local deployment using llama.cpp or Ollama, making it versatile for various development environments.

Designed primarily for integration into professional developer tooling and AI-powered coding assistants, Mellum serves developers seeking enhanced productivity through intelligent code generation. The model supports educational applications and fine-tuning experiments, with Python SFT models already available and additional language models forthcoming. As an open-source solution, Mellum provides a foundation for research on code understanding and generation while maintaining efficiency through Automatic Mixed Precision training with bf16 precision. Explore more in our IDE and Dev Tools sections.

How to Use Mellum-4b-base

Getting started with Mellum-4b-base involves downloading the model from Hugging Face and integrating it into your preferred development environment. For cloud deployment, configure vLLM for optimized inference, while local setups can utilize llama.cpp or Ollama for efficient processing. The model accepts standard language modeling inputs and supports both generic code generation and fill-in-the-middle tasks with additional files as context. Developers can fine-tune the base model using supervised fine-tuning or reinforcement learning techniques to adapt it to specific programming languages or coding styles.

Core Features of Mellum-4b-base

1. Multi-Language Code Completion - Supports Python, Java and other programming languages with intelligent suggestions
2. Large Context Window - Processes up to 8,192 tokens for comprehensive code understanding
3. Flexible Deployment Options - Compatible with cloud inference and local deployment frameworks
4. Fine-Tuning Capabilities - Supports supervised fine-tuning and reinforcement learning adaptation
5. Optimized Performance - Trained with Automatic Mixed Precision using bf16 precision

Use Cases for Mellum-4b-base

• Intelligent code suggestions and autocompletion in integrated development environments
• AI-powered coding assistants for enhanced developer productivity and workflow
• Educational applications for teaching programming concepts and code generation
• Research experiments in code understanding, generation, and language model adaptation
• Fine-tuning projects for specialized programming domains and coding styles
• Local deployment scenarios requiring offline code completion capabilities
• Performance benchmarking against other code generation models like CodeLlama

Support and Contact

For technical questions, collaboration opportunities, and model requests, reach the development team at mellum@jetbrains.com. Additional resources and documentation are available through the official Hugging Face repository and JetBrains developer portals.

Company Info

Mellum-4b-base is developed by JetBrains, a leading software development company known for creating intelligent development tools. The company maintains its headquarters in the Czech Republic and has established a global presence through its popular IDEs and developer solutions.

Login and Signup

Access Mellum-4b-base directly through the Hugging Face repository where the model is available for download and integration. No additional registration is required for basic model usage, though Hugging Face account creation may be needed for certain platform features.