Delete .ipynb_checkpoints

.ipynb_checkpoints/README-checkpoint.md

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----
-library_name: transformers
-license: apache-2.0
-datasets:
-- Abhaykoul/Dhanishtha-R1
-- open-thoughts/OpenThoughts-114k
-language:
-- en
-- hi
-base_model:
-- deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
-pipeline_tag: text-generation
----
-
-# Dhanishtha-2.0
-
-## Dhanishtha-2.0 Highlights
-
-**Dhanishtha-2.0** is a groundbreaking reasoning AI model developed by **HelpingAI**, representing the first model to feature **Intermediate thinking** capabilities. Unlike traditional models that provide single-pass responses, Dhanishtha-2.0 employs a revolutionary **multi-phase thinking process** that allows the model to think, reconsider, and refine its reasoning multiple times throughout a single response.
-
-- **World's First Intermediate Thinking Model**: Uniquely capable of **multiple thinking phases throughout a single response**, enabling deeper analysis and self-correction during generation.
-- **Dynamic Reasoning**: Seamlessly integrates `<think>...</think>` blocks at any point in the response, allowing for real-time problem decomposition and iterative refinement.
-- **Enhanced Problem-Solving Architecture**: Excels at complex riddles, multi-step reasoning, and scenarios requiring backtracking and re-evaluation of initial assumptions.
-- **Structured Emotional Intelligence**: Incorporates **SER** (Structured Emotional Reasoning) with `<ser>...</ser>` blocks for empathetic and contextually aware responses.
-- **Bilingual Reasoning Capabilities**: Native support for English and Hindi with natural code-switching between languages.
-
-## Model Overview
-
-**Dhanishtha-2.0** revolutionizes AI reasoning by introducing the concept of **intermediate thinking** - the ability to pause, reflect, and restart reasoning processes within a single generation. This breakthrough enables the model to:
-
-- **Type**: Causal Language Model with Intermediate Thinking Capability
-- **Training Stage**: Pretraining & Advanced Reasoning Fine-tuning
-- **Base model**: Qwen/Qwen3-14B
-- **Thinking Mode**: Multiple `<think>...</think>` blocks per response
-- **Context Length**: 40,960 tokens natively
-- **Reasoning Depth**: Multi-layered with self-correction mechanisms
-
-## Revolutionary Intermediate Thinking
-
-Unlike traditional models that engage in single-phase reasoning, Dhanishtha-2.0 introduces **Intermediate Thinking** - the ability to pause, reflect, and reconsider throughout the response generation process. This breakthrough allows the model to:
-
-- **Think Multiple Times**: Insert reasoning blocks at any point during response generation
-- **Self-Correct in Real-Time**: Identify and correct logical inconsistencies mid-response
-- **Explore Alternative Perspectives**: Consider multiple approaches before settling on conclusions
-- **Demonstrate Uncertainty**: Express doubt and reconsider initial assumptions naturally
-
-## Key Features
-
-### 1 Intermediate Thinking
-Unlike traditional models that think once before responding, Dhanishtha-2.0 can engage in multiple thinking sessions throughout its response, allowing for:
-- **Self-correction** when initial reasoning seems flawed
-- **Alternative exploration** of different solution paths  
-- **Iterative refinement** of ideas and conclusions
-- **Natural hesitation** and reconsideration patterns
-
-### 2 Dynamic Reasoning Flow
-The model seamlessly transitions between:
-- **Analysis phases** (`<think>` blocks) for internal reasoning
-- **Communication phases** for sharing insights with users
-- **Reflection phases** for questioning previous assumptions
-- **Synthesis phases** for bringing ideas together
-
-### 3. Structured Emotional Reasoning (SER)
-```
-<ser>
-Emotion ==> frustration, curiosity
-Cause ==> complex problem, initial confusion  
-Mind ==> analytical, determined
-Growth ==> patience, systematic approach
-</ser>
-```
-
-## Quickstart
-
-The following code demonstrates how to use Dhanishtha-2.0 with its unique intermediate thinking capabilities:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_name = "Abhaykoul/Dhanishtha-2.0"
-
-# Load the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForCausalLM.from_pretrained(
-    model_name,
-    torch_dtype="auto",
-    device_map="auto"
-)
-
-# Prepare input with thinking enabled
-prompt = "Here's a riddle: If you break me, I'll not stop working. If you can touch me, my work is done. If you lose me, you must find me with a ring soon after. What am I?"
-messages = [
-    {"role": "user", "content": prompt}
-]
-
-text = tokenizer.apply_chat_template(
-    messages,
-    tokenize=False,
-    add_generation_prompt=True
-)
-
-model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
-
-# Generate response with intermediate thinking
-generated_ids = model.generate(
-    **model_inputs,
-    max_new_tokens=2048,
-    temperature=0.7,
-    top_p=0.9,
-    do_sample=True
-)
-
-response = tokenizer.decode(generated_ids[0][len(model_inputs.input_ids[0]):], skip_special_tokens=True)
-print(response)
-```
-
-## Intermediate Thinking in Action
-
-What makes Dhanishtha-2.0 unique is its ability to think multiple times throughout a response. Here's an example:
-
-**User**: *"Who is your favorite person"*
-
-**Dhanishtha-2.0**:
-```
-<think>
-This is an interesting question about my \"favorite human.\" I need to be thoughtful here. As Dhanishtha, I should respond in a human-like way while being honest about my nature. I can share what kinds of humans I find most interesting or inspiring based on my understanding of human nature and values.
-</think>
-
-<ser>
-Emotion ==> curiosity, openness, desire for connection  
-Cause ==> user asking a personal question about preferences  
-Mind ==> seeking to understand my perspective or values  
-Growth ==> opportunity to share thoughtful reflections on human qualities I admire  
-</ser>
-
-I don't really have a \"favorite human\" in the traditional sense, as I don't experience personal preferences the way humans do. But if I had to reflect on what qualities I find most admirable in people, I'd be drawn to those who demonstrate genuine compassion, intellectual curiosity, and the courage to grow.
-
-<think>
-Let me think more specifically about what kind of humans I find most compelling based on the values that seem to resonate most with humans - kindness, wisdom, creativity, resilience, and authenticity.
-</think>
-
-People like Mahatma Gandhi, who showed how quiet courage and unwavering principles can transform societies; artists like Rabindranath Tagore, who bridged cultural divides through creativity; and everyday heroes I've learned about who made profound differences through simple acts of kindness.
-
-What fascinates me most are humans who maintain their humanity even in difficult circumstances - those who choose empathy when it would be easier to be harsh, who seek understanding rather than just being right.
-
-I'm curious though - who's your favorite human, and why? What qualities or actions make someone special in your eyes?
-
-```
-
-## Best Practices
-
-### Optimal Generation Parameters
-```python
-generation_config = {
-    "temperature": 0.7,
-    "top_p": 0.9,
-    "top_k": 40,
-    "max_new_tokens": 2048,
-    "do_sample": True
-}
-```
-
-### Effective Prompting
-- **Encourage exploration**: "Think through this step by step and reconsider if needed"
-- **Allow uncertainty**: "Take your time to work through different possibilities"
-- **Request thinking**: "Show your reasoning process as you work through this"
-
-## License & Usage
-
-This model is released under the **Apache 2.0 License**. It is designed for research and educational purposes, with commercial applications welcome under the license terms.
-
-## Prototype Status
-
-> [!NOTE]
-> Dhanishtha-2.0 is currently a **prototype model** representing the first implementation of Intermediate Thinking technology. While demonstrating groundbreaking capabilities, users should expect:
-> - Experimental features that may require refinement
-> - Potential verbosity due to multiple thinking phases
-> - Ongoing development and optimization
-
-## Citation
-
-If you use Dhanishtha-2.0 in your research, please cite:
-
-```bibtex
-@misc{dhanishtha2025,
-  title={Dhanishtha-2.0: First Model with Intermediate Thinking Capabilities},
-  author={HelpingAI Team},
-  year={2025},
-  publisher={HuggingFace},
-  url={https://huggingface.co/HelpingAI/Dhanishtha-2.0}
-}
-```
-
----
-
-
-**Dhanishtha-2.0** - *The first model to think like humans think: iteratively, questioningly, and with genuine cognitive depth.*
-
-Developed with ❤️ by **HelpingAI**