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README.md
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---
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license: apache-2.0
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tags:
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- devops
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- kubernetes
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- docker
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- ci-cd
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- infrastructure
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- monitoring
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- specialized
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pipeline_tag: text-generation
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---
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# DevOps Specialized Language Model v1
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## 🎯 Model Overview
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This is a **specialized language model** fine-tuned from lakhera2023/Qwen-model specifically for **DevOps tasks and operations only**.
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## ⚠️ Important Notice
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**This model is designed EXCLUSIVELY for DevOps-related tasks. It has robust filtering that will NOT respond to general questions about movies, weather, cooking, sports, music, travel, health, education, politics, religion, philosophy, entertainment, gaming, fashion, or any non-DevOps topics.**
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**The model will automatically redirect any non-DevOps questions back to DevOps topics.**
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## 🚀 Capabilities
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The model specializes in:
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- **Kubernetes Operations**: Deployments, pods, services, troubleshooting
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- **Docker Containerization**: Container management, Dockerfiles, best practices
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- **CI/CD Pipelines**: GitHub Actions, GitLab CI, Jenkins, automation
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- **Infrastructure Automation**: Terraform, Ansible, infrastructure as code
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- **Monitoring & Observability**: Logging, metrics, alerting, performance monitoring
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- **Cloud Platform Operations**: AWS, Azure, GCP, cloud-native solutions
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- **DevOps Tools**: Helm, Prometheus, Grafana, ELK stack, and more
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## 🚫 Limitations
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- **DevOps Only**: Will not respond to non-DevOps questions
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- **Specialized Knowledge**: Focused on DevOps practices and tools
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## 💻 Usage
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### Basic Usage
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load your complete DevOps model directly
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model = AutoModelForCausalLM.from_pretrained("lakhera2023/devops-slm-v1")
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tokenizer = AutoTokenizer.from_pretrained("lakhera2023/devops-slm-v1")
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# Generate response (model has built-in DevOps filtering)
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def generate_devops_response(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Example usage
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response = generate_devops_response("How do I create a Kubernetes deployment?")
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print(response)
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# Note: The model automatically filters non-DevOps questions
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# and redirects them back to DevOps topics
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```
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### Example Queries
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✅ **Good DevOps Questions:**
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- "How do I create a Kubernetes deployment?"
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- "What's the difference between Docker and Podman?"
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- "How do I set up a CI/CD pipeline with GitHub Actions?"
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- "How do I troubleshoot a failing Kubernetes pod?"
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- "What are the best practices for container security?"
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❌ **Non-DevOps Questions (will be redirected):**
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- "Tell me about movies" → Redirected to DevOps
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- "What's the weather like?" → Redirected to DevOps
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- "Explain quantum physics" → Redirected to DevOps
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- "Write a poem" → Redirected to DevOps
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- "How to cook pasta?" → Redirected to DevOps
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- "Who won the football game?" → Redirected to DevOps
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- "Recommend some music" → Redirected to DevOps
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- "Best travel destinations" → Redirected to DevOps
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## 🔧 Technical Details
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- **Base Model**: lakhera2023/Qwen-model
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- **Architecture**: Transformer-based with LoRA fine-tuning
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- **Training**: 30,000+ DevOps-specific examples
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- **Specialization**: Fine-tuned for DevOps tasks only
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## 📊 Performance
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This model is optimized for:
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- **DevOps Task Accuracy**: High precision on DevOps-related queries
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- **Response Quality**: Clear, actionable DevOps guidance
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- **Topic Focus**: Strict adherence to DevOps-only responses
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## 🤝 Contributing
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This model is specialized for the DevOps community. If you have suggestions for improvements or additional DevOps training data, please open an issue.
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## 📄 License
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This model is released under the Apache 2.0 License.
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## ⚠️ Disclaimer
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This model is designed for educational and professional DevOps use. Always verify any deployment or configuration advice in a safe environment before applying to production systems.
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---
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**Remember: This model is DevOps-only. It will not respond to general questions.**
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