LlaMaestra - A tiny Llama model tuned for text translation
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Model Card
This model was finetuned with roughly 300.000 examples of translations from English to Italian and Italian to English. The model was finetuned in a way to more directly provide a translation without much explanation.
Finetuning took about 10 hours on an A10G Nvidia GPU.
Due to its size, the model runs very well on CPUs.
Usage
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig
from peft import PeftModel
base_model_id = "unsloth/Llama-3.2-1B-Instruct"
bnb_config = BitsAndBytesConfig(
load_in_4bit=True,
bnb_4bit_use_double_quant=True,
bnb_4bit_quant_type="nf4",
bnb_4bit_compute_dtype=torch.bfloat16
)
base_model = AutoModelForCausalLM.from_pretrained(
base_model_id, # Mistral, same as before
quantization_config=bnb_config, # Same quantization config as before
device_map="auto",
trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(base_model_id, add_bos_token=True, trust_remote_code=True)
ft_model = PeftModel.from_pretrained(base_model, "LeonardPuettmann/LlaMaestra-3.2-1B-Instruct-v0.1-4bit")
row_json = [
{"role": "system", "content": "Your job is to return translations for sentences or words from either Italian to English or English to Italian."},
{"role": "user", "content": "Scontri a Bologna, la destra lancia l'offensiva contro i centri sociali."}
]
prompt = tokenizer.apply_chat_template(row_json, tokenize=False)
model_input = tokenizer(prompt, return_tensors="pt").to("cuda")
with torch.no_grad():
print(tokenizer.decode(ft_model.generate(**model_input, max_new_tokens=1024)[0]))
Data used
The source for the data were sentence pairs from tatoeba.com. The data can be downloaded from here: https://tatoeba.org/downloads
Credits
Base model: unsloth/Llama-3.2-1B-Instruct
derived from meta-llama/Llama-3.2-1B-Instruct
Finetuned by: Leonard Püttmann https://www.linkedin.com/in/leonard-p%C3%BCttmann-4648231a9/
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Model tree for LeonardPuettmann/LlaMaestra-3.2-1B-Instruct-v0.1-4bit
Base model
meta-llama/Llama-3.2-1B-Instruct
Finetuned
unsloth/Llama-3.2-1B-Instruct