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Run StarCoder2 15B on Cyfuture Cloud for lightning-fast code synthesis, intelligent debugging, and seamless developer productivity powered by scalable GPU infrastructure.
StarCoder2 15B is a powerful open-weight language model designed specifically for code generation tasks. It features 15 billion parameters and has been trained on over 600 programming languages from the vast Stack v2 dataset. With a large context window of 16,384 tokens, StarCoder2-15B can efficiently process long codebases and complex programming workflows. The model leverages innovative techniques like Grouped Query Attention and Fill-in-the-Middle training to deliver highly accurate code completions, refactoring, and code understanding. Its open architecture and high precision (bfloat16) allow developers and enterprises to build advanced coding assistants, automation tools, and AI-powered software development solutions with transparency and flexibility.
StarCoder2-15B supports seamless integration across multiple GPUs for fast performance and is suitable for tasks requiring deep codebase understanding, multi-language support, and developer productivity enhancements. Released under an open licensing framework, it encourages research, customization, and deployment for various domains, including education, enterprise software, and open-source contributions. This model is recognized for its strong performance on benchmarks and its ability to handle real-world coding challenges effectively.
StarCoder2 15B is a powerful open-source large language model (LLM) designed specifically for code generation and understanding. With 15 billion parameters, it has been trained on over 4 trillion tokens covering more than 600 programming languages from the Stack v2 dataset.
The model supports a context window of up to 16,384 tokens, enabling efficient processing of large codebases and long-form programming tasks. It leverages advanced techniques like Grouped Query Attention and a sliding window mechanism to deliver high accuracy and speed in generating and completing code snippets. StarCoder2 15B is open-weight, allowing customization and integration into various development and AI research workflows.
Utilizes a transformer decoder architecture optimized with Grouped Query Attention for precise focus on different parts of the input code.
Processes large code files and projects through a 16,384-token context window with a sliding window attention of 4,096 tokens.
Trained to autocomplete and refactor code with the ability to fill in missing snippets within existing code blocks.
Supports code generation across 600+ programming languages, including Python, JavaScript, C++, Java, Rust, Go, and more.
Leveraged massive datasets comprising over 4 trillion tokens from open-source repositories and relevant code-doc sources.
Uses bfloat16 precision for faster computation and reduced memory footprint without compromising performance.
Released under an open license, enabling researchers and developers to freely fine-tune, audit, and deploy the model.
Accepts tokenized sequences of code as input and generates tokenized code snippets, decoded back to human-readable source code.
Designed to run efficiently across multiple GPUs, improving throughput for large-scale code generation workloads.
Large-scale model with significant capacity for complex code generation tasks.
Trained on over 600 programming languages, including Python, JavaScript, C++, and more.
Learned from over 4 trillion tokens from The Stack v2 dataset.
Supports a context window of 16,384 tokens, ideal for processing large codebases and long documents.
Uses advanced attention mechanisms for more accurate and efficient code understanding and generation.
Enables powerful autocomplete, code refactoring, and editing capabilities within existing code blocks.
Delivers high-quality code snippets with strong benchmark performance, outperforming smaller models.
Available under an open license that supports customization, research, and commercial use.
Optimized for deployment using multiple GPUs for faster inference and training.
Suitable for IDE integration, code completion, code-to-text/text-to-code, codebase understanding, and DevOps automation.
Cyfuture Cloud is the ideal choice for harnessing the power of StarCoder2 15B, a state-of-the-art open-weight AI model designed specifically for advanced code generation and automation. With 15 billion parameters and a massive training dataset covering over 600 programming languages, StarCoder2 delivers high accuracy, extensive context handling up to 16,384 tokens, and supports complex coding workflows. Cyfuture’s robust AI infrastructure ensures optimal deployment of this model, providing the scalability, GPU acceleration, and security needed to maximize StarCoder2’s performance for enterprise-grade applications.
By choosing Cyfuture Cloud for StarCoder2 15B, businesses gain access to a cutting-edge AI environment tailored for efficient code completion, refactoring, and multi-language support. The platform’s seamless integration with GPU cloud resources helps accelerate inference and training cycles while allowing flexible, cost-effective usage with support for quantized precision modes. Cyfuture Cloud empowers developers and organizations to innovate faster with StarCoder2, enabling smarter coding assistants, enhanced developer tools, and scalable AI solutions that meet today’s demanding software development needs.
Thanks to Cyfuture Cloud's reliable and scalable Cloud CDN solutions, we were able to eliminate latency issues and ensure smooth online transactions for our global IT services. Their team's expertise and dedication to meeting our needs was truly impressive.
Since partnering with Cyfuture Cloud for complete managed services, Boloro Global has experienced a significant improvement in their IT infrastructure, with 24x7 monitoring and support, network security and data management. The team at Cyfuture Cloud provided customized solutions that perfectly fit our needs and exceeded our expectations.
Cyfuture Cloud's colocation services helped us overcome the challenges of managing our own hardware and multiple ISPs. With their better connectivity, improved network security, and redundant power supply, we have been able to eliminate telecom fraud efficiently. Their managed services and support have been exceptional, and we have been satisfied customers for 6 years now.
With Cyfuture Cloud's secure and reliable co-location facilities, we were able to set up our Certifying Authority with peace of mind, knowing that our sensitive data is in good hands. We couldn't have done it without Cyfuture Cloud's unwavering commitment to our success.
Cyfuture Cloud has revolutionized our email services with Outlook365 on Cloud Platform, ensuring seamless performance, data security, and cost optimization.
With Cyfuture's efficient solution, we were able to conduct our examinations and recruitment processes seamlessly without any interruptions. Their dedicated lease line and fully managed services ensured that our operations were always up and running.
Thanks to Cyfuture's private cloud services, our European and Indian teams are now working seamlessly together with improved coordination and efficiency.
The Cyfuture team helped us streamline our database management and provided us with excellent dedicated server and LMS solutions, ensuring seamless operations across locations and optimizing our costs.
StarCoder2 15B is a powerful open-weight AI model specifically designed for code generation and understanding, featuring 15 billion parameters trained on over 600 programming languages from The Stack v2 dataset.
It supports more than 600 programming languages including Python, JavaScript, Java, C++, Rust, Go, HTML/CSS, and many more.
The model uses Grouped Query Attention and Sliding Window Attention mechanisms for enhanced context understanding. It is also trained using Fill-in-the-Middle (FIM) objectives, enabling accurate code completion and editing within code blocks.
StarCoder2 15B offers a large context window of 16,384 tokens, allowing it to process and generate long code sequences and understand extensive codebases efficiently.
Yes, it is released under the permissive BigCode OpenRAIL-M license, allowing unrestricted research, customization, and deployment.
Ideal use cases include IDE integration for smart autocompletion, code-to-text and text-to-code generation, code debugging, refactoring, documentation, and DevOps pipeline automation.
StarCoder2 15B outperforms many comparable models on benchmarks like HumanEval and MBPP, delivering high-quality, accurate code generation and completion.
>It requires GPUs such as NVIDIA A100 80GB or higher to run efficiently due to its 15 billion parameters and large memory footprint.
Yes, it is instruction-tuning ready and can be fine-tuned for specific tasks like code explanation, automated documentation, and domain-specific developer tools.
On Cyfuture Cloud, StarCoder2 15B can be deployed with dedicated GPU resources providing scalable, high-performance inferencing with no rate limits, ensuring reliable and fast code AI services.
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