niuchao79/Qwen2.5-1.5B-Instruct

TEXT GENERATIONConcurrency Cost:1Model Size:1.5BQuant:BF16Ctx Length:32kPublished:Apr 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The niuchao79/Qwen2.5-1.5B-Instruct is a 1.54 billion parameter instruction-tuned causal language model developed by Qwen, featuring a transformer architecture with a 32,768 token context length. This model significantly improves capabilities in coding, mathematics, and instruction following, excelling at generating long texts and structured outputs like JSON. It is designed for robust chatbot implementation and multilingual support across over 29 languages.

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Qwen2.5-1.5B-Instruct: Enhanced Language Model

This model is the instruction-tuned 1.54 billion parameter variant from the Qwen2.5 series, developed by Qwen. It builds upon previous versions with substantial improvements across several key areas, making it a versatile choice for various NLP tasks.

Key Capabilities

  • Enhanced Knowledge & Reasoning: Significantly improved performance in coding and mathematics due to specialized expert model integration.
  • Instruction Following: Demonstrates marked improvements in adhering to instructions and generating coherent, long-form text (up to 8K tokens).
  • Structured Data Handling: Excels at understanding structured data, such as tables, and generating structured outputs, particularly JSON.
  • Robust Chatbot Implementation: More resilient to diverse system prompts, facilitating better role-play and condition-setting for chatbots.
  • Long-Context Support: Features a full context length of 32,768 tokens, with the ability to generate up to 8,192 tokens.
  • Multilingual Support: Offers comprehensive support for over 29 languages, including major global languages like Chinese, English, French, Spanish, German, and Japanese.

Good For

  • Applications requiring strong code generation or mathematical problem-solving.
  • Chatbots and conversational AI demanding precise instruction following and role-play capabilities.
  • Tasks involving the generation of long, coherent texts or structured data outputs (e.g., JSON).
  • Multilingual applications needing broad language coverage.

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