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c95e5fe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | # 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]))
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