Hugging Face Overview
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.