Tucana-Opus-14B-r999

Maintained By
prithivMLmods

Tucana-Opus-14B-r999

PropertyValue
Parameter Count14 Billion
Model TypeCausal Language Model
ArchitectureQwen 2.5 14B
Context Window128K tokens
Model URLhuggingface.co/prithivMLmods/Tucana-Opus-14B-r999

What is Tucana-Opus-14B-r999?

Tucana-Opus-14B-r999 is an advanced language model built on the Qwen 2.5 14B architecture, specifically engineered to enhance reasoning capabilities. This model represents a significant advancement in AI language processing, featuring extensive multilingual support across 29 languages and impressive context handling of up to 128K tokens.

Implementation Details

The model utilizes a sophisticated chain-of-thought reasoning approach and has been fine-tuned using specialized datasets to improve comprehension and structured response generation. It implements the transformers library for easy deployment and supports both CPU and GPU configurations with automatic device mapping.

  • Enhanced general knowledge base across multiple domains
  • Improved instruction following capabilities
  • Support for generating up to 8K tokens in single output
  • Automatic device mapping for optimal performance

Core Capabilities

  • General-purpose reasoning and problem-solving
  • Multilingual support for 29+ languages
  • Long-context processing (128K tokens)
  • Structured data processing and generation
  • Educational and research assistance
  • Conversational AI applications

Frequently Asked Questions

Q: What makes this model unique?

The model's distinctive feature is its optimized reasoning capabilities combined with extensive multilingual support and long-context processing. It achieves an average benchmark score of 39.75%, with particularly strong performance in IFEval (60.67%) and BBH (50.59%).

Q: What are the recommended use cases?

The model excels in educational assistance, research support, multilingual applications, and general-purpose reasoning tasks. It's particularly suitable for applications requiring long-form content generation and structured data processing.

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