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Saba-Ethiopia

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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:

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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Inference API

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