license: cc-by-nc-4.0
language:
- ro
Model Card for Model ID
RoLlama2 is a family of pretrained and fine-tuned generative text models for Romanian. This is the repository for the foundational 7B models. Links to other models can be found at the bottom of this page.
Model Details
Model Description
RoLlama 2 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
Model Sources
- Repository: https://github.com/OpenLLM-Ro/llama-recipes
- Paper: [More Information Needed]
Intended Use
Intended Use Cases
RoLlama2is 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/RoLlama2-7b-Base")
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama2-7b-Base")
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**input_ids)
print(tokenizer.decode(outputs[0]))
Benchmarks
Model | Average | ARC | MMLU | Winogrande | HellaSwag | GSM8k | TruthfulQA |
---|---|---|---|---|---|---|---|
Llama-2-7b | 35.65 | 33.85 | 30.93 | 56.43 | 46.98 | 1.37 | 44.36 |
RoLlama2-7b-Base | 38.32 | 35.83 | 30.47 | 60.16 | 55.52 | 2.17 | 45.78 |
Llama-2-7b-chat | 35.58 | 34.92 | 32.37 | 54.26 | 44.52 | 2.05 | 45.38 |
RoLlama2-7b-Instruct | 44.42 | 40.36 | 37.41 | 69.58 | 55.64 | 17.59 | 45.96 |
RoLlama2-7b-Chat | 42.65 | 38.29 | 35.27 | 65.25 | 56.45 | 12.84 | 47.79 |
MT-Bench
Model | Average | 1st turn | 2nd turn |
---|---|---|---|
Llama-2-7b-chat | 1.70 | 2.00 | 1.41 |
RoLlama2-7b-Instruct | 4.31 | 5.66 | 2.95 |
RoLlama2-7b-Chat | 3.91 | 4.25 | 3.57 |
Citation
BibTeX:
[More Information Needed]
APA:
[More Information Needed]