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README.md

@@ -8,16 +8,12 @@ tags:
 - llama3
 - pashto
 - advanced-llm
+- multilingual
 - conversation
 base_model: meta-llama/Meta-Llama-3-8B-Instruct
 pipeline_tag: text-generation
 datasets:
 - tasal9/Pashto-Dataset-Creating-Dataset
-widget:
-- text: "Hello, how are you?"
-  example_title: "English Greeting"
-- text: "سلام وروره، څنګه یاست؟"
-  example_title: "Pashto Greeting"
 ---
 
 # ZamAI-LIama3-Pashto
@@ -33,25 +29,14 @@ This model is part of the **ZamAI Pro Models Strategy** - a comprehensive AI pla
 - 🌐 **Multilingual**: Optimized for Pashto and English
 - ⚡ **High Performance**: Optimized for production deployment
 - 🔒 **Secure**: Enterprise-grade security and privacy
-- 📱 **Production Ready**: Deployed and tested in real applications
-
-## 🎯 Use Cases
-
-This model excels at:
-- **Educational Content**: Pashto language tutoring and learning
-- **Business Applications**: Document processing and analysis
-- **Voice Interactions**: Natural language understanding
-- **Cultural Applications**: Supporting Pashto language technology
-- **Cross-lingual Tasks**: Translation and multilingual understanding
 
 ## 📚 Usage
 
-### Quick Start with Transformers
+### Basic Usage with Transformers
 
 ```python
 from transformers import AutoTokenizer, AutoModel
 
-# Load the model
 tokenizer = AutoTokenizer.from_pretrained("tasal9/ZamAI-LIama3-Pashto")
 model = AutoModel.from_pretrained("tasal9/ZamAI-LIama3-Pashto")
 
@@ -61,173 +46,49 @@ inputs = tokenizer(text, return_tensors="pt")
 outputs = model(**inputs)
 ```
 
-### Using Hugging Face Inference API
+### Usage with Hugging Face Inference API
 
 ```python
 from huggingface_hub import InferenceClient
 
 client = InferenceClient(token="your_hf_token")
 
-# For text generation
 response = client.text_generation(
     model="tasal9/ZamAI-LIama3-Pashto",
     prompt="Your prompt here",
-    max_new_tokens=200,
-    temperature=0.7
-)
-
-print(response)
-```
-
-### Integration with ZamAI Platform
-
-```python
-from zamai_platform import ZamAIClient
-
-# Initialize with your model
-zamai = ZamAIClient(model="ZamAI-LIama3-Pashto")
-
-# Use the model
-result = zamai.generate(
-    prompt="Your input",
-    language="pashto",  # or "english"
-    task_type="text-generation"
+    max_new_tokens=200
 )
 ```
 
-## 🔧 Technical Specifications
-
-| Attribute | Value |
-|-----------|-------|
-| **Model Type** | text-generation |
-| **Base Model** | meta-llama/Meta-Llama-3-8B-Instruct |
-| **Languages** | Pashto (ps), English (en) |
-| **License** | MIT |
-| **Parameters** | Optimized for efficiency |
-| **Context Length** | Variable (model-dependent) |
-
-## 📊 Performance Metrics
-
-| Metric | Score | Notes |
-|--------|-------|-------|
-| **Accuracy** | 92.5% | On Pashto evaluation set |
-| **BLEU Score** | 0.85 | Translation quality |
-| **Cultural Relevance** | 95% | Pashto cultural context |
-| **Response Time** | <200ms | Average inference time |
-| **Multilingual Score** | 89% | Cross-lingual performance |
-
-## 🚀 Deployment Options
-
-### 1. Hugging Face Inference API
-```python
-from huggingface_hub import InferenceClient
-client = InferenceClient(model="tasal9/ZamAI-LIama3-Pashto")
-```
-
-### 2. Local Deployment
-```bash
-# Clone and run locally
-git clone https://huggingface.co/tasal9/ZamAI-LIama3-Pashto
-python run_model.py --model-path ./ZamAI-LIama3-Pashto
-```
-
-### 3. Docker Deployment
-```bash
-# Use official ZamAI Docker images
-docker run -p 8000:8000 zamai/zamai-liama3-pashto:latest
-```
-
-### 4. Cloud Deployment
-```python
-# Deploy on your preferred cloud platform
-# Supports AWS, GCP, Azure, and more
-```
-
-## 🌍 Real-World Applications
-
-This model is actively used in:
-
-- **🎓 ZamAI Educational Platform**: Powering Pashto language tutoring
-- **📄 Business Automation**: Document processing and analysis
-- **🎤 Voice Assistants**: Natural language understanding
-- **🏛️ Cultural Preservation**: Supporting Pashto language technology
-- **🌐 Translation Services**: Cross-lingual communication tools
-
-## 📈 Model Updates & Versions
+## 🔧 Technical Details
 
-| Version | Date | Changes |
-|---------|------|---------|
-| **v1.0** | 2025-07-05 | Initial release with enhanced Pashto support |
-| **v1.1** | TBD | Performance optimizations |
-| **v2.0** | TBD | Extended language support |
+- **Model Type**: text-generation
+- **Base Model**: meta-llama/Meta-Llama-3-8B-Instruct
+- **Languages**: Pashto (ps), English (en)
+- **License**: MIT
+- **Training**: Fine-tuned on Pashto educational and cultural content
 
-## 🤝 Contributing & Community
+## 🚀 Applications
 
-We welcome contributions to improve this model:
+This model powers:
+- **ZamAI Educational Platform**: Pashto language tutoring
+- **Business Automation**: Document processing and analysis  
+- **Voice Assistants**: Natural language understanding
+- **Cultural Preservation**: Supporting Pashto language technology
 
-### 📝 Data Contributions
-- Share Pashto language datasets
-- Provide cultural context and corrections
-- Submit evaluation benchmarks
-
-### 🔧 Model Improvements
-- Suggest architectural enhancements
-- Report performance issues
-- Contribute fine-tuning datasets
-
-### 💡 Applications
-- Build new use cases and integrations
-- Share success stories
-- Contribute to the ecosystem
-
-## 📞 Support & Contact
-
-For enterprise support, custom fine-tuning, or integration assistance:
+## 📞 Support
 
+For support and integration assistance:
 - 📧 **Email**: [email protected]
 - 🌐 **Website**: [zamai.ai](https://zamai.ai)
-- 📖 **Documentation**: [docs.zamai.ai](https://docs.zamai.ai)
-- 💬 **Community**: [ZamAI Community Forum](https://community.zamai.ai)
-- 🐙 **GitHub**: [github.com/zamai-ai](https://github.com/zamai-ai)
-
-## 🏷️ Citation
-
-If you use this model in your research or applications, please cite:
-
-```bibtex
-@misc{zamai-zamai-liama3-pashto-2024,
-  title={ZamAI-LIama3-Pashto: Advanced LLaMA-3 model with enhanced Pashto language capabilities},
-  author={ZamAI Team},
-  year={2024},
-  url={https://huggingface.co/tasal9/ZamAI-LIama3-Pashto},
-  note={ZamAI Pro Models Strategy - Multilingual AI Platform}
-}
-```
-
-## 📄 License & Terms
-
-This model is licensed under the MIT License. See [LICENSE](LICENSE) for more details.
-
-### Usage Terms:
-- ✅ Commercial use allowed
-- ✅ Modification allowed  
-- ✅ Distribution allowed
-- ✅ Private use allowed
-- ⚠️ Attribution required
-
-## 🔗 Related Models
+- 💬 **Community**: [ZamAI Community](https://community.zamai.ai)
 
-Explore other models in the ZamAI collection:
+## 📄 License
 
-- [ZamAI-Mistral-7B-Pashto](https://huggingface.co/tasal9/ZamAI-Mistral-7B-Pashto)
-- [ZamAI-Phi-3-Mini-Pashto](https://huggingface.co/tasal9/ZamAI-Phi-3-Mini-Pashto)
-- [ZamAI-Whisper-v3-Pashto](https://huggingface.co/tasal9/ZamAI-Whisper-v3-Pashto)
-- [Multilingual-ZamAI-Embeddings](https://huggingface.co/tasal9/Multilingual-ZamAI-Embeddings)
-- [pashto-base-bloom](https://huggingface.co/tasal9/pashto-base-bloom)
+Licensed under the MIT License.
 
 ---
 
 **Part of the ZamAI Pro Models Strategy - Transforming AI for Multilingual Applications** 🌟
 
-*Last Updated: 2025-07-05 21:08:08 UTC*
-*Model Card Version: 1.0*
+*Updated: 2025-07-05 21:29:15 UTC*