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Text Generation
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StarCoder2-15B
4.6
FreeModel v2 Users praise its code generation capabilities, but some note its limitations in complex tasks.
A 15B parameter model for code generation trained on 600+ programming languages.
DevelopmentFree pricingAPI availableModel v2Updated 2026-04-01
Good for
Code GenerationCode Completion
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Editorial Note
A 15B parameter model for code generation trained on 600+ programming languages.
About StarCoder2-15B
StarCoder2-15B is a 15 billion parameter language model designed for code generation. It is trained on over 600 programming languages from The Stack v2 dataset, excluding opt-out requests. The model uses Grouped Query Attention and has a context window of 16,384 tokens with a sliding window attention of 4,096 tokens. Trained with the Fill-in-the-Middle objective on 4+ trillion tokens using NVIDIA NeMo framework on NVIDIA DGX H100 systems. It's not an instruction-following model, it excels at generating code snippets given context. Fine-tuning scripts are available in the StarCoder2's GitHub repository. Quantized versions are available through bitsandbytes for efficient memory usage.
Quick Summary
A 15B parameter model for code generation trained on 600+ programming languages.
5-15 minutesSetup: medium
Large Language ModelsAI Code Generation Model
Product Release Intel
Latest Model/Version
v2
Data Freshness
Checked Apr 1, 2026
v2
Visual Preview
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Sources tracked: 3
Core Capabilities
StarCoder2-15B is a 15 billion parameter language model designed for code generation.
