README.md

metadata

base_model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - gguf
  - ollama
license: apache-2.0
language:
  - en

kubectl Operator Model

• Developed by: dereklck
• License: Apache-2.0
• Fine-tuned from model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
• 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 efficiently using Unsloth and Hugging Face's TRL library.

---

Model Details

Purpose

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.

Intended Users

• Kubernetes administrators
• DevOps engineers
• Developers working with Kubernetes clusters

Training Process

• 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 dataset focused on Kubernetes operations and kubectl command usage, containing approximately 200 entries.

Features

• 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.

---

Usage

Prompt Template

The model uses the following prompt template to generate responses:

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:

{instruction}

Response:

{response}

### Parameters

- **Temperature:** `0.3` (controls randomness; lower values make outputs more deterministic)
- **Stop Token:** `</s>` (indicates the end of the assistant's response)

---

### Examples

#### Example 1: Generating a Command

**Instruction:**

Create a namespace called 'development'.

**Response:**

```bash
kubectl create namespace development

---

Example 2: Handling Ambiguity

Instruction:

Show me logs.

Response:

Which pod's logs would you like to retrieve?

---

Example 3: Providing Explanations

Instruction:

What is a Deployment in Kubernetes?

Response:

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.

---

Deployment with Ollama

Prerequisites

• Install Ollama on your system.
• 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:

   FROM kubectl_operator.Q8_0.gguf
   
   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.
   
   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"

   TEMPLATE """ 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:

     kubectl <command>
     

   • Clarifications and Explanations: Respond in plain text, politely and clearly.

   ---

   Instruction:

   {{ .Prompt }}

   Response:

   """

2. Create the Model with Ollama

   Open your terminal and run the following command to create the model:

   ollama create kubectl_operator -f Modelfile
   

   This command tells Ollama to create a new model named kubectl_operator using the configuration specified in Modelfile.

3. Run the Model

   Start interacting with your model:

   ollama run kubectl_operator
   

   This will initiate the model and prompt you for input based on the template provided.

---

Limitations and Considerations

• 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.

---

Feedback and Contributions

We welcome any comments or participation to improve the model and dataset. If you encounter issues or have suggestions for improvement:

• GitHub: Unsloth Repository
• Contact: Reach out to the developer, dereklck, for further assistance.

---