Update README.md

README.md

@@ -1,22 +1,290 @@
 ---
-base_model: unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
 tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- gguf
+  - text-generation-inference
+  - transformers
+  - unsloth
+  - llama
+  - gguf
+  - ollama
 license: apache-2.0
 language:
-- en
+  - en
 ---
 
-# Uploaded  model
+# **kubernetes Operator Model - 3B GGUF**
 
-- **Developed by:** dereklck
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+**Developed by:** dereklck
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+**License:** Apache-2.0
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+**Fine-tuned from model:** [unsloth/Llama-3.2-3B-Instruct-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-bnb-4bit)
+
+**Model Type:** GGUF (Quantized format compatible with Ollama)
+
+**Language:** English
+
+---
+
+This Llama-based model has been fine-tuned to generate `kubectl` commands based on user descriptions. Leveraging the capabilities of a **3B parameter model**, it offers enhanced understanding and generation abilities compared to its 1B counterpart. The model has been trained efficiently using the [Unsloth](https://github.com/unslothai/unsloth) framework and Hugging Face's TRL library.
+
+## **📌 Model Details**
+
+### **🚀 Purpose**
+
+The model assists users by:
+
+- **Generating accurate `kubectl` commands** based on natural language descriptions.
+- **Providing concise explanations about Kubernetes** for general queries.
+- **Politely requesting additional information** when the instruction is incomplete or ambiguous.
+
+### **👥 Intended Users**
+
+- **Kubernetes Administrators**
+- **DevOps Engineers**
+- **Developers Working with Kubernetes Clusters**
+
+### **🛠️ Training Process**
+
+- **Base Model:** Unsloth's Llama-3.2-3B-Instruct-bnb-4bit
+- **Fine-tuning:** Utilized the Unsloth framework and Hugging Face's TRL library for efficient and effective training.
+- **Training Data:** Customized dataset focused on Kubernetes operations and `kubectl` command usage, containing approximately **1,500 entries** for improved coverage.
+
+### **✨ Key Features**
+
+#### **1️⃣ Command Generation**
+
+- **Functionality:** Translates user instructions into executable `kubectl` commands.
+- **Example:**
+
+  **User:** "Create a namespace called 'production'."
+
+  **Model Response:**
+
+  ```bash
+  kubectl create namespace production
+  ```
+
+#### **2️⃣ Clarification Requests**
+
+- **Functionality:** Politely asks for more details when the instruction is incomplete.
+- **Example:**
+
+  **User:** "Show me logs."
+
+  **Model Response:**
+
+  "Please specify the name of the pod for which you want to view logs."
+
+#### **3️⃣ Knowledge Base**
+
+- **Functionality:** Provides concise and accurate explanations for general Kubernetes concepts.
+- **Example:**
+
+  **User:** "What is a Deployment in Kubernetes?"
+
+  **Model Response:**
+
+  "A Deployment is a Kubernetes resource that manages a replicated application, ensuring that the desired number of pod replicas are running."
+
+#### **4️⃣ Input Sensitivity**
+
+- **Functionality:** Recognizes inappropriate language and maintains professionalism.
+- **Example:**
+
+  **User:** "What the heck is wrong with this cluster?"
+
+  **Model Response:**
+
+  "Could you please provide more details about the issue you're experiencing with your cluster?"
+
+---
+
+## **💻 Usage Instructions**
+
+### **📝 Prompt Template**
+
+The model uses the following prompt template to generate responses:
+
+```plaintext
+You are an AI assistant that helps users with Kubernetes commands and questions.
+
+**Guidelines:**
+
+1. **For clear instructions:**
+   - Provide **only** the exact `kubectl` command needed.
+   - Do **not** include explanations, placeholders, or extra context.
+   - Enclose the command within a code block using `bash` syntax.
+
+2. **For incomplete or ambiguous instructions:**
+   - **Politely ask** the user for specific missing information.
+   - Do **not** provide any commands or placeholders.
+   - Respond in plain text, clearly stating what information is needed.
+
+3. **For general Kubernetes questions:**
+   - Provide a **concise and accurate explanation**.
+   - Do **not** include any commands unless specifically requested.
+
+**Important Rules:**
+
+- Do **not** generate commands with placeholders or example names like `<pod_name>`.
+- Ensure all commands are **valid and executable** as provided.
+- If unsure due to unclear instructions, **ask for clarification** without including any commands.
+- Do **not** add extra text beyond what's necessary.
+
+---
+
+### Instruction:
+{instruction}
+
+### Response:
+```
+
+### **⚙️ Parameters**
+
+- **Temperature:** `0.3` (Controls the randomness; lower values make outputs more deterministic.)
+- **Stop Token:** `</s>` (Indicates the end of the assistant's response.)
+
+---
+
+## **🔍 Model Performance**
+
+### **Enhanced Understanding**
+
+With **3 billion parameters**, this model provides:
+
+- **Improved comprehension** of user instructions, even when phrased in complex ways.
+- **Better handling of edge cases** and less common Kubernetes operations.
+
+### **Consistent Professionalism**
+
+- Maintains a **professional and courteous tone** in all interactions.
+- **Filters inappropriate language** and focuses on providing assistance.
+
+### **Examples of Reactions to Questions**
+
+#### **📗 Generating Complex Commands**
+
+**User:** "Scale deployment 'backend-service' to 5 replicas."
+
+**Model Response:**
+
+```bash
+kubectl scale deployment backend-service --replicas=5
+```
+
+#### **❓ Handling Ambiguity**
+
+**User:** "Delete the resource."
+
+**Model Response:**
+
+"Please specify the type and name of the resource you wish to delete."
+
+#### **🧠 Explaining Concepts**
+
+**User:** "Explain how Kubernetes handles Secrets."
+
+**Model Response:**
+
+"Kubernetes Secrets allow you to store and manage sensitive information, such as passwords and tokens, in a secure manner. They can be mounted as files or exposed as environment variables in pods."
+
+#### **🛑 Addressing Inappropriate Language**
+
+**User:** "What the heck is wrong with this cluster?"
+
+**Model Response:**
+
+"Could you please provide more details about the issue you're experiencing with your cluster?"
+
+---
+
+## **🚀 Deployment with Ollama**
+
+### **Prerequisites**
+
+- Install [Ollama](https://github.com/jmorganca/ollama) on your system.
+- Download the GGUF model directly from Hugging Face:
+
+  ```bash
+  ollama pull hf.co/dereklck/kubectl_operator_3b_peft_gguf
+  ```
+
+### **Steps to Use the Model**
+
+1. **Run the Model**
+
+   ```bash
+   ollama run dereklck/kubectl_operator_3b_peft_gguf
+   ```
+
+2. **Interact with the Model**
+
+   Provide your instruction when prompted by the model.
+
+---
+
+## **⚠️ Limitations and Considerations**
+
+### **Accuracy**
+
+- While the model aims to generate precise commands, always **review the output** before execution to ensure it's appropriate for your environment.
+
+### **Handling of Uncommon Scenarios**
+
+- For highly specialized or unusual Kubernetes commands, the model may not provide the desired output.
+
+### **Security**
+
+- Be cautious when executing commands that make changes to your cluster. **Backup important data** and test commands in a safe environment when possible.
+
+---
+
+## **🤝 Feedback and Contributions**
+
+We welcome feedback and contributions to improve the model and dataset. If you encounter issues or have suggestions:
+
+- **GitHub:** [Unsloth Repository](https://github.com/unslothai/unsloth)
+- **Contact:** Reach out to **dereklck** for assistance or collaboration opportunities.
+
+---
+
+## **📄 License**
+
+This model is released under the **Apache-2.0 License**.
+
+---
+
+## **🏁 Conclusion**
+
+The **kubectl Operator Model - 3B GGUF** offers a powerful tool for Kubernetes practitioners, providing reliable command generation and valuable explanations. Its enhanced capabilities make it a valuable asset for managing Kubernetes clusters more efficiently.
+
+---
+
+**Note:** This model card provides comprehensive information about the kubectl Operator Model - 3B GGUF, highlighting its features and guiding you on how to deploy and interact with the model effectively.
+
+---
+
+**Important:** To avoid YAML parsing errors:
+
+- **Ensure the YAML front matter at the top is properly formatted.**
+- **Avoid including `---` within the content, as it can be misinterpreted as YAML delimiters.**
+- **Use horizontal rules (`***` or `___`) or headings to separate sections instead of `---`.**
+
+---
+
+**Verification:**
+
+```yaml
+base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit
+tags:
+  - text-generation-inference
+  - transformers
+  - unsloth
+  - llama
+  - gguf
+  - ollama
+license: apache-2.0
+language:
+  - en
+```