modeltrainer1/Saba1.1

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:

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]))