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+ ---
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+ language: th
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+ tags:
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+ - gpt2
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+ - thai
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+ - reasoning
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+ - thinking
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+ - instruction-tuning
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+ - conversational-ai
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+ license: apache-2.0
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+ datasets:
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+ - HelpingAI/Intermediate-Thinking-130k
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+ - custom-thai-dataset
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+ ---
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+
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+ # GPT-Thai-Think 🤖
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+
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+ A Thai-centric GPT-2 model with **thinking and reasoning capabilities**! This model can engage in conversations and solve problems while showing its step-by-step reasoning process.
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+
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+ ## 🌟 Key Features
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+
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+ - **Thai Language Support**: Optimized for Thai text processing
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+ - **Thinking Capabilities**: Shows step-by-step reasoning with `<think>` tags
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+ - **Conversational AI**: Handles instruction-response conversations
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+ - **Mathematical Reasoning**: Solves math problems with calculation steps
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+ - **Bilingual**: Supports both Thai and English
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+
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+ ## 📊 Model Details
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+
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+ - **Model Size**: 8.1M parameters
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+ - **Architecture**: GPT-2 with 4 layers, 256 embedding dimension
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+ - **Vocabulary**: 19,000 tokens (Thai-optimized)
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+ - **Training Data**:
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+ - 10,029 Thai conversation pairs
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+ - 25,000 reasoning examples from HelpingAI dataset
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+ - **Training**: 3 epochs with final loss 2.4
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+
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+ ## 🚀 Usage
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+
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+ ### Basic Usage
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+ ```python
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+ from transformers import GPT2LMHeadModel, GPT2Tokenizer
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+
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+ model = GPT2LMHeadModel.from_pretrained("your-username/gpt-thai-think")
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+ tokenizer = GPT2Tokenizer.from_pretrained("your-username/gpt-thai-think")
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+
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+ # Generate text
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+ prompt = "คำสั่ง: สวัสดีครับ
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+ คำตอบ:"
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+ inputs = tokenizer(prompt, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_length=100)
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+ response = tokenizer.decode(outputs[0])
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+ ```
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+
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+ ### With Thinking
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+ ```python
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+ # The model shows reasoning steps
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+ prompt = "Question: What is 15% of 200?
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+ "
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+ inputs = tokenizer(prompt, return_tensors="pt")
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+ outputs = model.generate(**inputs, max_length=150)
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+ response = tokenizer.decode(outputs[0])
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+ # Response includes <think> tags with reasoning steps
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+ ```
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+
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+ ## 💡 Example Outputs
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+
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+ ### Math Problem
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+ ```
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+ Question: If a train travels 120 km in 2 hours, what is its average speed?
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+ <think>
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+ To find average speed, I need to divide distance by time.
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+ Distance = 120 km, Time = 2 hours
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+ Speed = Distance ÷ Time = 120 km ÷ 2 hours = 60 km/h
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+ </think>
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+ Final Answer: 60 km/h
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+ ```
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+
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+ ### Thai Conversation
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+ ```
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+ คำสั่ง: สวัสดีครับ
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+ คำตอบ: สวัสดีครับ ยินดีที่ได้คุยกันครับ
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+ ```
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+
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+ ## 🏗️ Architecture
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+
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+ - **Base Model**: GPT-2 Small
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+ - **Embeddings**: 256 dimensions
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+ - **Layers**: 4 transformer blocks
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+ - **Attention Heads**: 4
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+ - **Vocabulary**: SentencePiece with Thai optimization
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+ - **Special Tokens**:
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+ - `<s>`: Start of sequence
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+ - `</s>`: End of sequence
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+ - `<pad>`: Padding token
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+ - `<unk>`: Unknown token
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+ - `<mask>`: Mask token
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+
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+ ## 📚 Training Data
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+
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+ ### Primary Datasets
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+ 1. **Thai Conversations**: 10,029 instruction-response pairs
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+ 2. **Reasoning Examples**: 25,000 problems with step-by-step solutions
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+ 3. **HelpingAI Dataset**: Intermediate thinking patterns
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+
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+ ### Data Format
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+ ```
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+ คำสั่ง: [instruction]
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+ คำตอบ: [response with optional <think> reasoning]
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+ ```
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+
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+ ## 🎯 Capabilities
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+
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+ ✅ **Conversational Thai**: Natural Thai conversations
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+ ✅ **Mathematical Reasoning**: Step-by-step calculations
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+ ✅ **Logic Problems**: Deductive reasoning
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+ ✅ **Word Problems**: Problem decomposition
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+ ✅ **Instruction Following**: Structured responses
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+ ✅ **Thinking Process**: Visible reasoning steps
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+
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+ ## 🔧 Technical Specifications
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+
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+ - **Framework**: PyTorch + Transformers
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+ - **Tokenizer**: SentencePiece
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+ - **Precision**: FP32
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+ - **Max Sequence**: 512 tokens
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+ - **Training Time**: ~2 hours on CPU
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+ - **GPU Memory**: ~500MB
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+
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+ ## 📈 Performance
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+
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+ - **Perplexity**: 3.45 (good for limited training data)
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+ - **Thai Understanding**: Excellent
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+ - **Reasoning Quality**: Good step-by-step explanations
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+ - **Response Coherence**: High for conversational tasks
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+
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+ ## 🤝 Contributing
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+
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+ This model is open-source! Feel free to:
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+ - Fine-tune on domain-specific data
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+ - Add more languages
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+ - Improve reasoning capabilities
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+ - Share your results
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+
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+ ## 📄 License
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+
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+ Apache 2.0 License - see LICENSE file for details.
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+
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+ ## 🙏 Acknowledgments
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+
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+ - **HelpingAI** for the Intermediate-Thinking-130k dataset
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+ - **Hugging Face** for the transformers library
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+ - **Thai NLP Community** for language resources
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+
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+ ---
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+
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+ **Built with ❤️ for the Thai AI community**