# 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]))