HelpingAI/Dhanishtha-2.0-preview-0725

TEXT GENERATIONConcurrency Cost:1Model Size:14BQuant:FP8Ctx Length:32kPublished:Jul 16, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Gated Cold

Dhanishtha-2.0-preview-0725 by HelpingAI is a 14 billion parameter causal language model built on the Qwen3-14B foundation, featuring the world's first Intermediate Thinking capabilities. This model revolutionizes AI reasoning by employing a multi-phase thinking process, allowing it to pause, reflect, and self-correct within a single response. With a 40,960-token context length and support for over 39 languages, it excels at complex problem-solving, multi-step reasoning, and educational assistance by making its thought process transparent.

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Dhanishtha-2.0: World's First Intermediate Thinking AI Model

Dhanishtha-2.0, developed by HelpingAI, is a 14 billion parameter causal language model based on Qwen3-14B, notable for its Intermediate Thinking capabilities. Unlike traditional models, Dhanishtha-2.0 can perform a multi-phase thinking process, including self-correction and iterative refinement, within a single response. This is achieved through explicit <think>...</think> blocks, allowing the model to show its reasoning step-by-step and even change its approach.

Key Capabilities

  • Intermediate Thinking: Employs multiple reasoning phases within a single generation, enabling self-correction and dynamic reasoning.
  • Multilingual Support: Built with multilingual capabilities, supporting over 39 languages (including English, Hindi, Chinese, Spanish, French, German, Japanese, Korean, Arabic) with consistent reasoning.
  • Structured Emotional Reasoning (SER): Incorporates <ser>...</ser> blocks to provide empathetic and contextually aware responses.
  • Complex Problem-Solving: Excels at tasks requiring deep reasoning, such as riddles, multi-step mathematical problems, and logical puzzles.
  • Transparent Reasoning: Makes its thought process visible, which is beneficial for educational assistance and understanding AI decision-making.

Good For

  • Complex Problem Solving: Ideal for tasks requiring multi-step logic and self-reflection.
  • Educational Assistance: Provides detailed explanations with visible reasoning processes.
  • Research Support: Useful for analysis requiring multiple perspectives and self-correction.
  • Creative Writing: Supports iterative story development by reasoning about plot choices.
  • Domain-Specific Reasoning: Can be fine-tuned for specialized reasoning in legal, medical, or scientific fields.

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