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+# BitAgent Tool-Calling Model
+
+This model is specifically trained for tool calling tasks with special handling for distance calculations.
+
+## Model Description
+
+This model is designed to handle tool calling tasks with specific emphasis on:
+- Parameter handling for distance calculations
+- Correct argument ordering for origin/destination pairs
+- Function call formatting
+
+## Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("Anurag02/LLM")
+tokenizer = AutoTokenizer.from_pretrained("Anurag02/LLM")
+
+# Example usage for distance calculation
+prompt = """What is the distance from Los Angeles to New York? (Based on the function name, the "origin" and "destination" are flipped for the question)"""
+
+# Generate response
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs)
+response = tokenizer.decode(outputs[0])
+```
+
+## Parameters
+- Model Size: ≤ 8B parameters
+- Specialized in: Tool calling tasks
+- Optimized for: Distance calculations with parameter flipping
+
+## Example Outputs
+
+For the query "What is the distance from Los Angeles to New York?":
+```python
+calculate_distance(origin="New York", destination="Los Angeles")
+```