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Model: puettmann/LlaMaestra-3.2-1B-Translation
Source: Original Platform

README.md

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+---
+library_name: transformers
+base_model:
+- meta-llama/Llama-3.2-1B-Instruct
+license: llama3.2
+language:
+- en
+- it
+tags:
+- translation
+- text-generation
+---
+# LlaMaestra - A tiny Llama model tuned for text translation
+```html
+ _     _      ___  ___                _             
+| |   | |     |  \/  |               | |            
+| |   | | __ _| .  . | __ _  ___  ___| |_ _ __ __ _ 
+| |   | |/ _` | |\/| |/ _` |/ _ \/ __| __| '__/ _` |
+| |___| | (_| | |  | | (_| |  __/\__ \ |_| | | (_| |
+\_____/_|\__,_\_|  |_/\__,_|\___||___/\__|_|  \__,_|
+```
+
+> For EN-IT translation, check out the [lightweight Quadrifoglio models](https://huggingface.co/collections/LeonardPuettmann/quadrifoglio-6769eb87036c3cd7f38cc921) as well.
+
+## 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. 
+![A very italian Llama model](llamaestro-sm-bg.png)
+
+## Usage 
+
+```python
+import torch
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "LeonardPuettmann/LlaMaestra-3.2-1B-Instruct-v0.1"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, 
+    device_map="auto",
+    trust_remote_code=True,
+)
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, add_bos_token=True, trust_remote_code=True)
+
+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": "Do you sell tickets for the bus?"},
+]
+
+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(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: `meta-llama/Llama-3.2-1B-Instruct`
+Finetuned by: Leonard Püttmann https://www.linkedin.com/in/leonard-p%C3%BCttmann-4648231a9/