Llama 3.2 Amharic
Collection
Llama 3.2 decoder transformer models trained on Amharic text
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9 items
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Updated
This model is a version of Meta's Llama-3.2-1B decoder transformer model that was continuously pretrained on an Amharic text corpus.
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
llama_am = pipeline(
"text-generation",
model="rasyosef/Llama-3.2-1B-Amharic",
device_map="auto"
)
prompt = "በኢንግሊዝ ፕሪምየር ሊግ"
llama_am(
prompt,
max_new_tokens=128,
temperature=0.3,
do_sample=True,
top_k=8,
top_p=0.8,
repetition_penalty=1.05
)
Output:
[{'generated_text': 'በኢንግሊዝ ፕሪምየር ሊግ የ2017/18 የውድድር ዘመን ላይ ተሳታፊ የሆነው ሊቨርፑል ትናንት ምሽት 3 :45 ላይ ከዌስትሀም ዩናይትድ ጋር ባደረገው ጨዋታ በ2 ለ 1 ውጤት ተሸንፏል ።'}]
Base model
meta-llama/Llama-3.2-1B-Instruct