Viper-Coder-v1.5-r999
| Property | Value |
|---|---|
| Base Architecture | Qwen 2.5 14B |
| Context Window | 128K tokens |
| Output Capacity | 8K tokens |
| Model URL | huggingface.co/prithivMLmods/Viper-Coder-v1.5-r999 |
What is Viper-Coder-v1.5-r999?
Viper-Coder-v1.5-r999 is a specialized large language model built on the Qwen 2.5 14B architecture, specifically optimized for coding and reasoning tasks. This model represents a significant advancement in AI-powered coding assistance, featuring extensive fine-tuning on synthetic datasets and enhanced chain-of-thought (CoT) reasoning capabilities.
Implementation Details
The model leverages the Transformers library for seamless integration and deployment. It features automatic device mapping and dtype optimization, making it adaptable to various computational environments while maintaining high performance. The implementation supports structured chat templates and efficient token generation for complex coding tasks.
- Advanced tokenization system with support for multiple programming languages
- Optimized for high-performance code generation and analysis
- Comprehensive documentation support across 29+ languages
- Integration with popular deep learning frameworks
Core Capabilities
- Expert-level coding proficiency across Python, JavaScript, C++, Java, SQL, and more
- Enhanced debugging and code optimization capabilities
- Advanced mathematical and logical reasoning for complex problem-solving
- Structured data processing with JSON, YAML, and XML support
- Extended context handling up to 128K tokens
Frequently Asked Questions
Q: What makes this model unique?
The model's distinguishing features include its extensive fine-tuning on coding-specific datasets, superior context window size of 128K tokens, and advanced chain-of-thought reasoning capabilities particularly optimized for programming tasks. It excels in multilingual code support and structured data processing.
Q: What are the recommended use cases?
The model is ideal for elite coding and debugging tasks, complex algorithmic reasoning, scientific computation, structured data processing, and technical content generation. It's particularly effective for developers working on large-scale projects requiring sophisticated code analysis and generation.
