transformers safetensors llama text-generation translation en it base_model:unsloth/Llama-3.2-1B-Instruct base_model:quantized:unsloth/Llama-3.2-1B-Instruct license:llama3.2 autotrain_compatible text-generation-inference endpoints_compatible 4-bit bitsandbytes region:us
---
base_model:
- unsloth/Llama-3.2-1B-Instruct
language:
- en
- it
library_name: transformers
license: llama3.2
tags:
- translation
- text-generation
---
# LlaMaestra - A tiny Llama model tuned for text translation
```html
 _     _      ___  ___                _             
| |   | |     |  \/  |               | |            
| |   | | __ _| .  . | __ _  ___  ___| |_ _ __ __ _ 
| |   | |/ _` | |\/| |/ _` |/ _ \/ __| __| '__/ _` |
| |___| | (_| | |  | | (_| |  __/\__ \ |_| | | (_| |
\_____/_|\__,_\_|  |_/\__,_|\___||___/\__|_|  \__,_|
```

## 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-v0.1-4bit"

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: `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/