This model is an Instruction-Tuned version of Llama 3.2 180M Amharic.
How to use
Chat Format
Given the nature of the training data, the phi-2 instruct model is best suited for prompts using the chat format as follows. You can provide the prompt as a question with a generic template as follows:
<|im_start|>user
ጥያቄ?<|im_end|>
<|im_start|>assistant
For example:
<|im_start|>user
ሶስት የአፍሪካ ሀገራት ጥቀስልኝ<|im_end|>
<|im_start|>assistant
where the model generates the text after <|im_start|>assistant .
Sample inference code
First, you need to install the latest version of transformers
pip install -Uq transformers
You can use this model directly with a pipeline for text generation:
from transformers import pipeline
llama3_am = pipeline(
"text-generation",
model="rasyosef/Llama-3.2-180M-Amharic-Instruct",
device_map="auto"
)
messages = [{"role": "user", "content": "ሶስት የአፍሪካ ሀገራት ጥቀስልኝ"}]
llama3_am(messages, max_new_tokens=128, repetition_penalty=1.1, return_full_text=False)
Output:
[{'generated_text': '1. ግብፅ 2. ኢትዮጵያ 3. ኬንያ'}]