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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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<!-- Provide a quick summary of what the model is/does. --> |
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RoMistral 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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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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<!-- - **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:** [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) |
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<!-- - **Finetuned from model [optional]:** [More Information Needed] --> |
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### Model Sources |
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- **Repository:** https://github.com/OpenLLM-Ro/llama-recipes |
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- **Paper:** https://arxiv.org/abs/2405.07703 |
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## Intended Use |
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### Intended Use Cases |
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RoMistral 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/RoMistral-7b-Instruct") |
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model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoMistral-7b-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": "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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| Mistral-7B-Instruct-v0.2| 45.63 | 43.09 | 44.87 | 59.26 | 54.12 | 10.86 | **61.56** | |
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| *RoMistral-7b-Instruct* | ***52.49*** | ***50.39*** | ***51.64*** | ***66.69*** | ***60.24*** | ***33.71*** | 52.59 | |
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## MT-Bench |
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| Model | Average | 1st turn | 2nd turn | |
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|--------------------|:--------:|:--------:|:--------:| |
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| Mistral-7B-Instruct-v0.2 | 5.84 | 6.06 | **5.63** | |
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| *RoMistral-7b-Instruct*| ***5.92***|***6.53***| *5.415* | |
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## RoMistral Model Family |
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| Model | Link | |
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|--------------------|:--------:| |
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|*RoMistral-7b-Instruct*| [link](https://huggingface.co/OpenLLM-Ro/RoMistral-7b-Instruct) | |
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## Citation |
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If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] --> |
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