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--- |
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license: cc-by-nc-4.0 |
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language: |
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- ro |
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--- |
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# Model Card for Model ID |
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*Built with Meta Llama 3* |
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<!-- Provide a quick summary of what the model is/does. --> |
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RoLlama3 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. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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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. |
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- **Developed by:** OpenLLM-Ro |
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<!-- - **Funded by [optional]:** [More Information Needed] --> |
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<!-- - **Shared by [optional]:** [More Information Needed] --> |
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<!-- - **Model type:** [More Information Needed] --> |
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- **Language(s):** Romanian |
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- **License:** cc-by-nc-4.0 |
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- **Finetuned from model:** [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) |
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### Model Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/OpenLLM-Ro/llama-recipes |
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- **Paper:** https://arxiv.org/abs/2406.18266 |
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## Intended Use |
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### Intended Use Cases |
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RoLlama3 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. |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
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Use in any manner that violates the license, any applicable laws or regluations, use in languages other than Romanian. |
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## How to Get Started with the Model |
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Use the code below to get started with the model. |
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```python |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct") |
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model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama3-8b-Instruct") |
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instruction = "Ce jocuri de societate pot juca cu prietenii mei?" |
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chat = [ |
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{"role": "system", "content": "Ești un asistent folositor, respectuos și onest. Încearcă să ajuți cât mai mult prin informațiile oferite, excluzând răspunsuri toxice, rasiste, sexiste, periculoase și ilegale."}, |
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{"role": "user", "content": instruction}, |
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] |
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prompt = tokenizer.apply_chat_template(chat, tokenize=False, system_message="") |
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inputs = tokenizer.encode(prompt, add_special_tokens=False, return_tensors="pt") |
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outputs = model.generate(input_ids=inputs, max_new_tokens=128) |
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print(tokenizer.decode(outputs[0])) |
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``` |
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## Benchmarks |
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| Model | Average | ARC | MMLU |Winogrande|HellaSwag | GSM8k |TruthfulQA| |
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|--------------------|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:| |
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| Llama-3-8B-Instruct| 50.15 | 43.73 | 49.02 | 59.35 | 53.16 | **44.12** | 51.52 | |
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| *RoLlama3-8b-Instruct* | ***50.61*** | ***44.66*** | ***52.19*** | ***67.58*** | ***57.65*** | *30.20* | ***51.39*** | |
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## MT-Bench |
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| Model | Average | 1st turn | 2nd turn | Answers in Ro | |
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|--------------------|:--------:|:--------:|:--------:|:--------:| |
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| Llama-3-8B-Instruct | **5.92** | **6.36** | **5.49** | 158 / 160 |
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| *RoLlama3-8b-Instruct*| *5.28* |*6.10*| *4.45* | ***160 / 160*** | |
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## RoCulturaBench |
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| Model | Score | Answers in Ro| |
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|--------------------|:--------:|:--------:| |
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| Llama-3-8B-Instruct | **4.61** | **100 / 100** | |
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| *RoLlama3-8b-Instruct*| *3.83*| ***100 / 100*** | |
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## RoLlama3 Model Family |
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| Model | Link | |
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|--------------------|:--------:| |
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|*RoLlama3-8b-Instruct*| [link](https://huggingface.co/OpenLLM-Ro/RoLlama3-8b-Instruct) | |
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## Citation |
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``` |
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@misc{masala2024vorbecstiromanecsterecipetrain, |
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title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions}, |
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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}, |
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year={2024}, |
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eprint={2406.18266}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2406.18266}, |
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} |
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``` |
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