license: cc-by-nc-4.0
language:
- ro
Model Card for Model ID
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.
Model Details
Model Description
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
- Language(s): Romanian
- License: cc-by-nc-4.0
- Finetuned from model: Mistral-7B-v0.1
Model Sources
- Repository: https://github.com/OpenLLM-Ro/llama-recipes
- Paper: https://arxiv.org/abs/2405.07703
Intended Use
Intended Use Cases
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.
Out-of-Scope Use
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.
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("OpenLLM-Ro/RoMistral-7b-Instruct")
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoMistral-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 |
|---|---|---|---|---|---|---|---|
| Mistral-7B-Instruct-v0.2 | 45.63 | 43.09 | 44.87 | 59.26 | 54.12 | 10.86 | 61.56 |
| RoMistral-7b-Instruct | 52.49 | 50.39 | 51.64 | 66.69 | 60.24 | 33.71 | 52.59 |
MT-Bench
| Model | Average | 1st turn | 2nd turn |
|---|---|---|---|
| Mistral-7B-Instruct-v0.2 | 5.84 | 6.06 | 5.63 |
| RoMistral-7b-Instruct | 5.92 | 6.53 | 5.415 |
RoMistral Model Family
| Model | Link |
|---|---|
| RoMistral-7b-Instruct | link |