Add comprehensive terminal commands for Ollama usage

README.md

@@ -94,18 +94,60 @@ Fox1.3 combines two strategies that eliminate the need for massive model sizes:
 
 ## 🚀 Usage
 
-### Ollama
+### Terminal / Command Line
 
 ```bash
+# Run the model (single prompt)
+ollama run fox1.3 "Your question here"
+
+# Check if model is installed
+ollama list
+
+# Pull the model from HuggingFace
+ollama pull teolm30/fox1.3
+
+# Start interactive chat
 ollama run fox1.3
+
+# Example prompts to try:
+# "If all birds can fly and penguins are birds, can penguins fly?"
+# "A bat and ball cost $1.10. The bat costs $1.00 more than the ball. How much is the ball?"
+# "Write a Python function to check if a number is even"
+```
+
+### Python API
+
+```python
+import requests
+
+response = requests.post("http://localhost:11434/api/generate", json={
+    "model": "fox1.3",
+    "prompt": "Your question here",
+    "stream": False
+})
+print(response.json()["response"])
 ```
 
-### Via Python (with LoRA)
+### Via Ollama Python Library
 
 ```python
-from unsloth import FastLanguageModel
-model, tokenizer = FastLanguageModel.from_pretrained("unsloth/Qwen2.5-0.5B-unsloth-bnb-4bit")
-model = PeftModel.from_pretrained(model, "teolm30/fox1.3-v7-lora")
+import ollama
+
+response = ollama.chat(model='fox1.3', messages=[
+    {'role': 'user', 'content': 'Your question here'}
+])
+print(response['message']['content'])
+```
+
+### Via OpenClaw (Recommended for Web Search)
+
+Fox1.3 works best through OpenClaw, which adds web search capability:
+
+```bash
+# Start OpenClaw
+openclaw start
+
+# The model is automatically available through the OpenClaw interface
 ```
 
 ---