Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: unsloth/Llama-3.2-3B-Instruct-bnb-4bit  
+base_model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit  
 tags:
 - text-generation-inference
 - transformers
@@ -21,8 +21,13 @@ 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 efficiently using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
+This Llama-based model was fine-tuned to assist users with Kubernetes commands and questions. It has three primary features:
 
+1. **Generating accurate `kubectl` commands** based on user descriptions.
+2. **Providing concise explanations about Kubernetes** for general queries.
+3. **Politely requesting additional information** if the instruction is incomplete or ambiguous.
+
+The model was trained efficiently using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
 ---
 
 ## How to Use the Model
@@ -138,62 +143,17 @@ The model assists users by:
 - **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.
-
 ---
 
-## 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.
-
-**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.
+## Model Features
 
-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.
+### Command Generation in Bash Format
 
-**Important Rules:**
-
-- **Do not generate CLI commands containing placeholders (e.g., <pod_name>, <resource_name>).**
-- Ensure all CLI commands are complete, valid, and executable as provided.
-- If user input is insufficient to form a complete command, ask for clarification instead of using placeholders.
-- Provide only the necessary CLI command output without any additional text.
-
-### 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)
-
----
+When the model generates CLI commands, it provides them in `bash` format, enclosed within code blocks for easy execution and clarity. This helps users to copy and paste the commands directly into their terminal.
 
-## Examples
+### Examples
 
-### Example 1: Generating a Command
+#### **Example 1: Generating a Command**
 
 **Instruction:**
 
@@ -209,7 +169,7 @@ kubectl create namespace development
 
 ---
 
-### Example 2: Handling Ambiguity
+#### **Example 2: Handling Ambiguity**
 
 **Instruction:**
 
@@ -225,7 +185,7 @@ Which pod's logs would you like to retrieve?
 
 ---
 
-### Example 3: Providing Explanations
+#### **Example 3: Providing Explanations**
 
 **Instruction:**