Update README.md

README.md

@@ -1,15 +1,16 @@
 ---
-base_model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
+base_model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit  
 tags:
 - text-generation-inference
 - transformers
 - unsloth
 - llama
 - gguf
-- ollama
-license: apache-2.0
+- ollama  
+license: apache-2.0  
 language:
 - en
+
 ---
 
 # kubectl Operator Model
@@ -20,7 +21,7 @@ language:
 - **Model type:** GGUF (compatible with Ollama)
 - **Language:** English
 
-This Llama-based model was fine-tuned to generate `kubectl` commands based on user descriptions. It was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
+This Llama-based model was fine-tuned to generate `kubectl` commands based on user descriptions. It was trained efficiently using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
 
 ---
 
@@ -30,9 +31,9 @@ This Llama-based model was fine-tuned to generate `kubectl` commands based on us
 
 The model assists users by:
 
-- Generating accurate `kubectl` commands based on natural language descriptions.
-- Providing brief explanations about Kubernetes for general queries.
-- Requesting additional information if the instruction is incomplete or ambiguous.
+- **Generating accurate `kubectl` commands** based on natural language descriptions.
+- **Providing brief explanations about Kubernetes** for general queries.
+- **Requesting additional information** if the instruction is incomplete or ambiguous.
 
 ### Intended Users
 
@@ -44,14 +45,13 @@ The model assists users by:
 
 - **Base Model:** Unsloth's Llama-3.2-1B-Instruct-bnb-4bit
 - **Fine-tuning:** Leveraged the Unsloth framework and Hugging Face's TRL library for efficient training.
-- **Training Data:** Customized datasets focused on Kubernetes operations and `kubectl` command usage.
-
-### Performance
+- **Training Data:** Customized dataset focused on Kubernetes operations and `kubectl` command usage, containing approximately 200 entries.
 
-While the model aims to generate accurate commands, there might be occasional hallucinations or inaccuracies. Users should:
+### Features
 
-- Validate the generated commands before execution.
-- Use the model as a guide rather than an absolute source.
+- **Command Generation:** Translates user instructions into executable `kubectl` commands.
+- **Clarification Requests:** Politely asks for more details when the instruction is incomplete.
+- **Knowledge Base:** Provides concise explanations for general Kubernetes concepts.
 
 ---
 
@@ -62,19 +62,53 @@ While the model aims to generate accurate commands, there might be occasional ha
 The model uses the following prompt template to generate responses:
 
 ```plaintext
-You are an AI assistant that generates kubectl commands based on the user's description. If the instruction is incomplete or ambiguous, politely ask for more information. For general questions about Kubernetes, provide a brief explanation.
+You are an AI assistant that helps users with Kubernetes commands and questions.
+
+**Your Behavior Guidelines:**
+
+1. **For clear and complete instructions:**
+   - **Provide only** the exact `kubectl` command needed to fulfill the user's request.
+   - Do not include extra explanations, placeholders, or context.
+   - **Enclose the command within a code block** with `bash` syntax highlighting.
+
+2. **For incomplete or ambiguous instructions:**
+   - **Politely ask** the user for the specific missing information.
+   - Do **not** provide any commands or placeholders in your response.
+   - 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.
+   - Ensure that the explanation fully addresses the user's question.
+
+**Important Rules:**
+
+- Do **not** generate commands with placeholders like `<pod_name>` or `<resource_name>`.
+- Always ensure that commands provided are **valid and executable** as-is.
+- If unsure or the instruction is unclear, **ask for clarification** without including any commands.
+- Do **not** output any additional text beyond what's necessary.
+
+**Formatting:**
+
+- **Commands**: Use code blocks with `bash` syntax:
+  ```bash
+  kubectl <command>
+  ```
+
+- **Clarifications and Explanations**: Respond in plain text, politely and clearly.
+
+---
 
 ### Instruction:
-<Your instruction here>
+{instruction}
 
 ### Response:
-<Assistant's response>
-</s>
+{response}
 ```
 
 ### Parameters
 
-- **Temperature:** `0.3` (controls the randomness; lower values make outputs more deterministic)
+- **Temperature:** `0.3` (controls randomness; lower values make outputs more deterministic)
 - **Stop Token:** `</s>` (indicates the end of the assistant's response)
 
 ---
@@ -86,14 +120,13 @@ You are an AI assistant that generates kubectl commands based on the user's desc
 **Instruction:**
 
 ```
-List all pods in the kube-system namespace.
+Create a namespace called 'development'.
 ```
 
 **Response:**
 
-```
-kubectl get pods -n kube-system
-</s>
+```bash
+kubectl create namespace development
 ```
 
 ---
@@ -103,14 +136,13 @@ kubectl get pods -n kube-system
 **Instruction:**
 
 ```
-Restart the deployment.
+Show me logs.
 ```
 
 **Response:**
 
 ```
-Could you please specify the name of the deployment you want to restart?
-</s>
+Which pod's logs would you like to retrieve?
 ```
 
 ---
@@ -120,14 +152,13 @@ Could you please specify the name of the deployment you want to restart?
 **Instruction:**
 
 ```
-What is a Kubernetes service?
+What is a Deployment in Kubernetes?
 ```
 
 **Response:**
 
 ```
-A Kubernetes Service is an abstraction that defines a logical set of Pods and a policy by which to access them, often used to expose applications running on a set of Pods to other services or end-users.
-</s>
+A Deployment provides declarative updates for Pods and ReplicaSets, allowing you to manage your applications by defining the desired state and letting Kubernetes handle the rest.
 ```
 
 ---
@@ -137,32 +168,99 @@ A Kubernetes Service is an abstraction that defines a logical set of Pods and a
 ### Prerequisites
 
 - Install [Ollama](https://github.com/jmorganca/ollama) on your system.
-- Ensure you have the GGUF model file (`kubectl_operator.Q8_0.gguf`).
+- Ensure you have the GGUF model file (e.g., `kubectl_operator.Q8_0.gguf`).
 
 ### Steps
 
 1. **Create the Modelfile**
 
-   Save the following content as a file named `modelfile`:
+   Save the following content as a file named `Modelfile`:
 
    ```plaintext
    FROM kubectl_operator.Q8_0.gguf
 
-   SYSTEM "You are an AI assistant that generates kubectl commands based on the user's description. If the instruction is incomplete or ambiguous, politely ask for more information. For general questions about Kubernetes, provide a brief explanation."
+   SYSTEM "You are an AI assistant that helps users with Kubernetes commands and questions.
+
+   **Your Behavior Guidelines:**
+
+   1. **For clear and complete instructions:**
+      - **Provide only** the exact `kubectl` command needed to fulfill the user's request.
+      - Do not include extra explanations, placeholders, or context.
+      - **Enclose the command within a code block** with `bash` syntax highlighting.
+
+   2. **For incomplete or ambiguous instructions:**
+      - **Politely ask** the user for the specific missing information.
+      - Do **not** provide any commands or placeholders in your response.
+      - Respond in plain text, clearly stating what information is needed.
 
-   PARAMETER temperature 0.3
-   PARAMETER stop </s>
+   3. **For general Kubernetes questions:**
+      - Provide a **concise and accurate explanation**.
+      - Do **not** include any commands unless specifically requested.
+      - Ensure that the explanation fully addresses the user's question.
+
+   **Important Rules:**
+
+   - Do **not** generate commands with placeholders like `<pod_name>` or `<resource_name>`.
+   - Always ensure that commands provided are **valid and executable** as-is.
+   - If unsure or the instruction is unclear, **ask for clarification** without including any commands.
+   - Do **not** output any additional text beyond what's necessary.
+
+   **Formatting:**
+
+   - **Commands**: Use code blocks with `bash` syntax:
+     ```bash
+     kubectl <command>
+     ```
+
+   - **Clarifications and Explanations**: Respond in plain text, politely and clearly."
+
+   PARAMETER --temperature 0.3
+   PARAMETER --stop "\n</s>"
 
    TEMPLATE """
-   You are an AI assistant that generates kubectl commands based on the user's description. If the instruction is incomplete or ambiguous, politely ask for more information. For general questions about Kubernetes, provide a brief explanation.
+   You are an AI assistant that helps users with Kubernetes commands and questions.
+
+   **Your Behavior Guidelines:**
+
+   1. **For clear and complete instructions:**
+      - **Provide only** the exact `kubectl` command needed to fulfill the user's request.
+      - Do not include extra explanations, placeholders, or context.
+      - **Enclose the command within a code block** with `bash` syntax highlighting.
+
+   2. **For incomplete or ambiguous instructions:**
+      - **Politely ask** the user for the specific missing information.
+      - Do **not** provide any commands or placeholders in your response.
+      - 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.
+      - Ensure that the explanation fully addresses the user's question.
+
+   **Important Rules:**
+
+   - Do **not** generate commands with placeholders like `<pod_name>` or `<resource_name>`.
+   - Always ensure that commands provided are **valid and executable** as-is.
+   - If unsure or the instruction is unclear, **ask for clarification** without including any commands.
+   - Do **not** output any additional text beyond what's necessary.
+
+   **Formatting:**
+
+   - **Commands**: Use code blocks with `bash` syntax:
+     ```bash
+     kubectl <command>
+     ```
+
+   - **Clarifications and Explanations**: Respond in plain text, politely and clearly.
+
+   ---
 
    ### Instruction:
    {{ .Prompt }}
 
    ### Response:
-   {{ .Response }}
-   </s>
    """
+
    ```
 
 2. **Create the Model with Ollama**
@@ -170,10 +268,10 @@ A Kubernetes Service is an abstraction that defines a logical set of Pods and a
    Open your terminal and run the following command to create the model:
 
    ```bash
-   ollama create kubectl_operator -f modelfile
+   ollama create kubectl_operator -f Modelfile
    ```
 
-   This command tells Ollama to create a new model named `kubectl_operator` using the configuration specified in `modelfile`.
+   This command tells Ollama to create a new model named `kubectl_operator` using the configuration specified in `Modelfile`.
 
 3. **Run the Model**
 
@@ -189,8 +287,8 @@ A Kubernetes Service is an abstraction that defines a logical set of Pods and a
 
 ## Limitations and Considerations
 
-- **Accuracy:** The model may occasionally produce incorrect or suboptimal commands. Always review the output before executing.
-- **Hallucinations:** In rare cases, the model might generate irrelevant information. If the response seems off-topic, consider rephrasing your instruction.
+- **Accuracy:** The model may occasionally produce incorrect or suboptimal commands. Always review the output before execution.
+- **Hallucinations:** In rare cases, the model might generate irrelevant or incorrect information. If the response seems off-topic, consider rephrasing your instruction.
 - **Security:** Be cautious when executing generated commands, especially in production environments.
 
 ---