NostraEmpire/mirror-qwen2.5-14b-instruct

TEXT GENERATIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:14.8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 31, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

NostraEmpire/mirror-qwen2.5-14b-instruct is a 14.7 billion parameter instruction-tuned causal language model from the Qwen2.5 series, developed by Qwen. It features significant improvements in coding, mathematics, instruction following, and long text generation up to 8K tokens, with a full context length of 131,072 tokens. This model excels at understanding structured data like tables and generating structured outputs such as JSON, and offers robust multilingual support for over 29 languages.

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Qwen2.5-14B-Instruct Overview

This model is the instruction-tuned 14.7 billion parameter variant from the Qwen2.5 series, building upon the Qwen2 architecture. Developed by Qwen, it incorporates specialized expert models to significantly enhance capabilities in coding and mathematics. The model demonstrates improved instruction following and is more resilient to diverse system prompts, making it suitable for complex chatbot implementations and role-play scenarios.

Key Capabilities

  • Enhanced Reasoning: Significant improvements in coding and mathematical problem-solving.
  • Long Context Handling: Supports a full context length of 131,072 tokens and can generate texts up to 8,192 tokens. It utilizes YaRN for efficient long-text processing.
  • Structured Data & Output: Excels at understanding structured data (e.g., tables) and generating structured outputs, particularly JSON.
  • Multilingual Support: Provides robust support for over 29 languages, including major global languages like Chinese, English, French, Spanish, German, and Japanese.
  • Instruction Following: Improved ability to follow complex instructions and adapt to varied system prompts.

When to Use This Model

This model is particularly well-suited for applications requiring:

  • Advanced code generation and mathematical problem-solving.
  • Processing and generating long documents or conversations.
  • Tasks involving structured data extraction or JSON output generation.
  • Multilingual chatbots and applications needing strong instruction adherence across various languages.
  • Scenarios demanding robust role-play or complex condition-setting for AI agents.

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