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RichardErkhov/
OpenLLM-Ro_-_RoMistral-7b-Instruct-gguf

Name: OpenLLM-Ro_-_RoMistral-7b-Instruct-gguf
Availability: InStock

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RoMistral-7b-Instruct - GGUF

Model creator: https://huggingface.co/OpenLLM-Ro/
Original model: https://huggingface.co/OpenLLM-Ro/RoMistral-7b-Instruct/

Name	Quant method	Size
RoMistral-7b-Instruct.Q2_K.gguf	Q2_K	2.53GB
RoMistral-7b-Instruct.IQ3_XS.gguf	IQ3_XS	2.81GB
RoMistral-7b-Instruct.IQ3_S.gguf	IQ3_S	2.96GB
RoMistral-7b-Instruct.Q3_K_S.gguf	Q3_K_S	2.95GB
RoMistral-7b-Instruct.IQ3_M.gguf	IQ3_M	3.06GB
RoMistral-7b-Instruct.Q3_K.gguf	Q3_K	3.28GB
RoMistral-7b-Instruct.Q3_K_M.gguf	Q3_K_M	3.28GB
RoMistral-7b-Instruct.Q3_K_L.gguf	Q3_K_L	3.56GB
RoMistral-7b-Instruct.IQ4_XS.gguf	IQ4_XS	3.67GB
RoMistral-7b-Instruct.Q4_0.gguf	Q4_0	3.83GB
RoMistral-7b-Instruct.IQ4_NL.gguf	IQ4_NL	3.87GB
RoMistral-7b-Instruct.Q4_K_S.gguf	Q4_K_S	3.86GB
RoMistral-7b-Instruct.Q4_K.gguf	Q4_K	4.07GB
RoMistral-7b-Instruct.Q4_K_M.gguf	Q4_K_M	4.07GB
RoMistral-7b-Instruct.Q4_1.gguf	Q4_1	4.24GB
RoMistral-7b-Instruct.Q5_0.gguf	Q5_0	4.65GB
RoMistral-7b-Instruct.Q5_K_S.gguf	Q5_K_S	4.65GB
RoMistral-7b-Instruct.Q5_K.gguf	Q5_K	4.78GB
RoMistral-7b-Instruct.Q5_K_M.gguf	Q5_K_M	4.78GB
RoMistral-7b-Instruct.Q5_1.gguf	Q5_1	5.07GB
RoMistral-7b-Instruct.Q6_K.gguf	Q6_K	5.53GB
RoMistral-7b-Instruct.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-nc-4.0 language:

ro base_model:
mistralai/Mistral-7B-v0.1

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/2406.18266

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.

python

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	47.41	46.25	47.04	58.72	54.25	13.59	64.63
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	Answers in Ro
Mistral-7B-Instruct-v0.2	4.83	5.09	4.58	154 / 160
RoMistral-7b-Instruct	4.91	5.67	4.16	160 / 160

RoCulturaBench

Model	Score	Answers in Ro
Mistral-7B-Instruct-v0.2	3.75	99 / 100
RoMistral-7b-Instruct	3.17	100 / 100

RoMistral Model Family

Model	Link
RoMistral-7b-Instruct	link

Citation

@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}, 
}

RichardErkhov/OpenLLM-Ro_-_RoMistral-7b-Instruct-gguf