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.

Summarize, explain, or generate code from natural language prompts—ideal for dev assistants and educational tools.

Process entire repositories for navigation, refactoring, and automated documentation.

Enable multi-step reasoning for build automation, test generation, and CI/CD pipeline assistance.

Deploy internally to support large developer teams with consistent and secure coding guidance.

StarCoder2-15B

vs

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