StarCoder2-15B

High-Performance Code LLM by BigCode

What is StarCoder2-15B?

StarCoder2-15B is the largest and most capable model in the StarCoder2 series, developed through the BigCode initiative by Hugging Face and ServiceNow. With 15 billion parameters and trained on a massive multilingual code dataset, it delivers best-in-class performance for code generation, understanding, and transformation tasks.

Designed for production-grade coding assistants, advanced developer tools, and AI research, StarCoder2-15B offers high accuracy, extended context handling (16K tokens), and a fully open-weight architecture—making it ideal for enterprise, education, and OSS contributions.

Key Features of StarCoder2-15B

16K Context Window

Efficiently processes large files, project-level context, and long-form documentation.

Supports 80+ Programming Languages

Trained on Python, JavaScript, C++, Java, Rust, Go, HTML/CSS, and many more.

Fill-in-the-Middle (FIM) Training

Enables powerful autocomplete, refactoring, and editing inside existing code blocks.

Instruction Tuning Ready

Can be further fine-tuned for code explanation, documentation, QA, or domain-specific dev tools.

Open Weights, Transparent Licensing

Released under the permissive BigCode OpenRAIL-M license—enabling unrestricted research, customization, and deployment.

High Accuracy at Scale

Outperforms smaller models on HumanEval, MBPP, and other benchmarks, with strong generalization and grounded outputs.

Use Cases of StarCoder2-15B

Enhance developer workflows with intelligent, context-aware suggestions and completions.
Reduces coding time and errors by offering relevant completions based on project context and developer intent.

Summarize, explain, or generate code from natural language prompts—ideal for dev assistants and educational tools.
Bridges the gap between non-technical users and developers, enabling seamless communication and collaboration.

Process entire repositories for navigation, refactoring, and automated documentation.
Improves code maintainability by understanding and mapping out complex codebases for easy navigation and refactoring.

Enable multi-step reasoning for build automation, test generation, and CI/CD pipeline assistance.
Automates deployment processes, test case generation, and identifies issues in the CI/CD workflow, improving efficiency.

Deploy internally to support large developer teams with consistent and secure coding guidance.
Helps standardize coding practices across teams while ensuring adherence to internal policies and security standards.

StarCoder2-15B Other Code Models

Feature	StarCoder2-15B	Code LLaMA 13B	GPT-4 Turbo	Mistral 7B
Model Size	15B	13B	~175B	7B
Open Weights	✅	✅	❌	✅
Code-Specific Training	✅	✅	Partial	❌
Max Context Length	16K	4K–8K	~128K	8K
Fine-Tuning Support	✅	✅	❌	✅
Best Use Case	IDE Tools, R&D	Open Dev Tools	Chat Agents	Light NLP