|
--- |
|
license: cc-by-nc-4.0 |
|
language: |
|
- ro |
|
base_model: |
|
- google/gemma-7b |
|
--- |
|
|
|
# Model Card for Model ID |
|
|
|
<!-- Provide a quick summary of what the model is/does. --> |
|
|
|
RoGemma is a family of pretrained and fine-tuned generative text models for Romanian. This is the repository for the **instruct 7B model**. Links to other models can be found at the bottom of this page. |
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
<!-- Provide a longer summary of what this model is. --> |
|
OpenLLM-Ro represents the first open-source effort to build a LLM specialized for Romanian. OpenLLM-Ro developed and publicly releases a collection of Romanian LLMs, both in the form of foundational model and instruct and chat variants. |
|
|
|
|
|
- **Developed by:** OpenLLM-Ro |
|
<!-- - **Funded by [optional]:** [More Information Needed] --> |
|
<!-- - **Shared by [optional]:** [More Information Needed] --> |
|
<!-- - **Model type:** [More Information Needed] --> |
|
- **Language(s):** Romanian |
|
- **License:** cc-by-nc-4.0 |
|
- **Finetuned from model:** [gemma-7b](https://huggingface.co/google/gemma-7b) |
|
|
|
|
|
### Model Sources |
|
|
|
<!-- Provide the basic links for the model. --> |
|
|
|
- **Repository:** https://github.com/OpenLLM-Ro/llama-recipes |
|
- **Paper:** https://arxiv.org/abs/2406.18266 |
|
|
|
## Intended Use |
|
|
|
### Intended Use Cases |
|
|
|
RoGemma is intented for research use in Romanian. Base models can be adapted for a variety of natural language tasks while instruction and chat tuned models are intended for assistant-like chat. |
|
|
|
### Out-of-Scope Use |
|
|
|
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
|
|
|
Use in any manner that violates the license, any applicable laws or regluations, use in languages other than Romanian. |
|
|
|
|
|
|
|
## How to Get Started with the Model |
|
|
|
Use the code below to get started with the model. |
|
|
|
```python |
|
from transformers import AutoTokenizer, AutoModelForCausalLM |
|
|
|
tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoGemma-7b-Instruct") |
|
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoGemma-7b-Instruct") |
|
|
|
instruction = "Ce jocuri de societate pot juca cu prietenii mei?" |
|
chat = [ |
|
{"role": "user", "content": instruction}, |
|
] |
|
prompt = tokenizer.apply_chat_template(chat, tokenize=False, system_message="") |
|
|
|
inputs = tokenizer.encode(prompt, add_special_tokens=False, return_tensors="pt") |
|
outputs = model.generate(input_ids=inputs, max_new_tokens=128) |
|
print(tokenizer.decode(outputs[0])) |
|
``` |
|
|
|
## Benchmarks |
|
|
|
| Model | Average | ARC | MMLU |Winogrande|HellaSwag | GSM8k |TruthfulQA| |
|
|--------------------|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:| |
|
| google/gemma-1.1-7b-it| 41.39 | 40.05 | 47.12 | 54.62 | 47.10 | 9.73 | 49.75 | |
|
| *RoGemma-7b-Instruct* | ***53.65*** | ***52.77*** | ***54.69*** | ***69.10*** | ***61.97*** | ***31.97*** | ***51.43*** | |
|
|
|
|
|
## MT-Bench |
|
|
|
| Model | Average | 1st turn | 2nd turn | Answers in Ro | |
|
|--------------------|:--------:|:--------:|:--------:|:--------:| |
|
| google/gemma-1.1-7b-it | 4.63 | 5.18 | 4.08 | **160 / 160**| |
|
| *RoGemma-7b-Instruct*| ***4.83***|***5.56***| ***4.10*** |**160 / 160**| |
|
|
|
## RoCulturaBench |
|
|
|
| Model | Score | Answers in Ro| |
|
|--------------------|:--------:|:--------:| |
|
| google/gemma-1.1-7b-it | **3.22** | **100 / 100** | |
|
| *RoGemma-7b-Instruct*| *3.47*| ***100 / 100*** | |
|
|
|
|
|
|
|
## RoGemma Model Family |
|
|
|
| Model | Link | |
|
|--------------------|:--------:| |
|
|*RoGemma-7b-Instruct*| [link](https://huggingface.co/OpenLLM-Ro/RoGemma-7b-Instruct) | |
|
|
|
|
|
## Citation |
|
|
|
``` |
|
@misc{masala2024vorbecstiromanecsterecipetrain, |
|
title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions}, |
|
author={Mihai Masala and Denis C. Ilie-Ablachim and Alexandru Dima and Dragos Corlatescu and Miruna Zavelca and Ovio Olaru and Simina Terian-Dan and Andrei Terian-Dan and Marius Leordeanu and Horia Velicu and Marius Popescu and Mihai Dascalu and Traian Rebedea}, |
|
year={2024}, |
|
eprint={2406.18266}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL}, |
|
url={https://arxiv.org/abs/2406.18266}, |
|
} |
|
``` |
|
<!-- **APA:** |
|
|
|
[More Information Needed] --> |
