RoLlama2 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 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.
RoLlama2 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/RoLlama2-7b-Instruct")
model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama2-7b-Instruct")
instruction = "Care este cel mai înalt vârf muntos din România?"
chat = [
{"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."},
{"role": "user", "content": instruction},
]
prompt = tokenizer.apply_chat_template(chat, tokenize=False)
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]))
@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},
}
Runs of OpenLLM-Ro RoLlama2-7b-Instruct on huggingface.co
958
Total runs
6
24-hour runs
5
3-day runs
369
7-day runs
914
30-day runs
More Information About RoLlama2-7b-Instruct huggingface.co Model
RoLlama2-7b-Instruct huggingface.co is an AI model on huggingface.co that provides RoLlama2-7b-Instruct's model effect (), which can be used instantly with this OpenLLM-Ro RoLlama2-7b-Instruct model. huggingface.co supports a free trial of the RoLlama2-7b-Instruct model, and also provides paid use of the RoLlama2-7b-Instruct. Support call RoLlama2-7b-Instruct model through api, including Node.js, Python, http.
RoLlama2-7b-Instruct huggingface.co is an online trial and call api platform, which integrates RoLlama2-7b-Instruct's modeling effects, including api services, and provides a free online trial of RoLlama2-7b-Instruct, you can try RoLlama2-7b-Instruct online for free by clicking the link below.
OpenLLM-Ro RoLlama2-7b-Instruct online free url in huggingface.co:
RoLlama2-7b-Instruct is an open source model from GitHub that offers a free installation service, and any user can find RoLlama2-7b-Instruct on GitHub to install. At the same time, huggingface.co provides the effect of RoLlama2-7b-Instruct install, users can directly use RoLlama2-7b-Instruct installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
RoLlama2-7b-Instruct install url in huggingface.co: