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kinetical/llama3.2-3b-simulMT-et-en
llama3.2-3b-simulMT-et-en is a machine learning model from kinetical. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is a llama-3.2 3B instruct model finetuned on 500k pairs of sentences sampled from NLLB and WikiMatrix, in all directions between Estonian, Russian, and English, accompanied with a few other languages randomly sa…
Downloads · 30 days
65
8% of all-time downloads
All-time downloads
770
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.gguf6.9 GB · 100%
From the Hugging Face model README
This is a llama-3.2 3B instruct model finetuned on 500k pairs of sentences sampled from NLLB and WikiMatrix, in all directions between Estonian, Russian, and English, accompanied with a few other languages randomly sampled.
This model is very good at translating in simultaneous manner, i.e. it can handle incomplete and streaming inputs. Try to type your sentence in piece meal : every few words, hit enter and see the model translates as you go.
First, install llama.cpp, follow https://github.com/ggerganov/llama.cpp?tab=readme-ov-file
Then, pull the quantized gguf file, and run the following command:
llama-cli -m Llama-3.2-3B-Instruct-Q4_K_M.gguf \
-p "You are a professional Estonian-to-English simultaneous interpreter. Translate the following conversations into English." \
-cnv \
--chat-template llama3 \
-c 4096 --temp 0.0
change the system above to "You are a professional English-to-Estonian simultaneous interpreter. Translate the following conversations into Estonian.", i.e.
llama-cli -m Llama-3.2-3B-Instruct-Q4_K_M.gguf \
-p "You are a professional English-to-Estonian simultaneous interpreter. Translate the following conversations into Estonian." \
-cnv \
--chat-template llama3 \
-c 4096 --temp 0.0
Now you can try to type in sentences that you want to translate.