Update README.md

README.md

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----
-license: mit
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+# Saba-Ethiopia
+
+A fine-tuned LLaMA-3 4-bit model trained for [specific purpose].
+
+## Model Details
+- **Base Model**: LLaMA-3 3B
+- **Quantization**: 4-bit
+- **Use Case**: [Describe what the model is fine-tuned for]
+
+## Usage
+To use this model in your code:
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("modeltrainer1/Saba-Ethiopia", torch_dtype="auto")
+tokenizer = AutoTokenizer.from_pretrained("modeltrainer1/Saba-Ethiopia")
+
+inputs = tokenizer("Your input text here", return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))