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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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RoLlama2-7b-Instruct - GGUF
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- Model creator: https://huggingface.co/OpenLLM-Ro/
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- Original model: https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [RoLlama2-7b-Instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q2_K.gguf) | Q2_K | 2.36GB |
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| [RoLlama2-7b-Instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.IQ3_XS.gguf) | IQ3_XS | 2.6GB |
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| [RoLlama2-7b-Instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.IQ3_S.gguf) | IQ3_S | 2.75GB |
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| [RoLlama2-7b-Instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q3_K_S.gguf) | Q3_K_S | 2.75GB |
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| [RoLlama2-7b-Instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.IQ3_M.gguf) | IQ3_M | 2.9GB |
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| [RoLlama2-7b-Instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q3_K.gguf) | Q3_K | 3.07GB |
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| [RoLlama2-7b-Instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q3_K_M.gguf) | Q3_K_M | 3.07GB |
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| [RoLlama2-7b-Instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q3_K_L.gguf) | Q3_K_L | 3.35GB |
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| [RoLlama2-7b-Instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.IQ4_XS.gguf) | IQ4_XS | 3.4GB |
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| [RoLlama2-7b-Instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q4_0.gguf) | Q4_0 | 3.56GB |
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| [RoLlama2-7b-Instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.IQ4_NL.gguf) | IQ4_NL | 3.58GB |
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| [RoLlama2-7b-Instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q4_K_S.gguf) | Q4_K_S | 3.59GB |
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| [RoLlama2-7b-Instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q4_K.gguf) | Q4_K | 3.8GB |
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| [RoLlama2-7b-Instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q4_K_M.gguf) | Q4_K_M | 3.8GB |
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| [RoLlama2-7b-Instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q4_1.gguf) | Q4_1 | 3.95GB |
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| [RoLlama2-7b-Instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q5_0.gguf) | Q5_0 | 4.33GB |
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| [RoLlama2-7b-Instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q5_K_S.gguf) | Q5_K_S | 4.33GB |
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| [RoLlama2-7b-Instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q5_K.gguf) | Q5_K | 4.45GB |
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| [RoLlama2-7b-Instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q5_K_M.gguf) | Q5_K_M | 4.45GB |
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| [RoLlama2-7b-Instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q5_1.gguf) | Q5_1 | 4.72GB |
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| [RoLlama2-7b-Instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q6_K.gguf) | Q6_K | 5.15GB |
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| [RoLlama2-7b-Instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/OpenLLM-Ro_-_RoLlama2-7b-Instruct-gguf/blob/main/RoLlama2-7b-Instruct.Q8_0.gguf) | Q8_0 | 6.67GB |
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Original model description:
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---
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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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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.
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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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.
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- **Developed by:** OpenLLM-Ro
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<!-- - **Funded by [optional]:** [More Information Needed] -->
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<!-- - **Shared 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:** [RoLlama2-7b-Base](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Base)
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### Model Sources
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<!-- Provide the basic links for the model. -->
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- **Repository:** https://github.com/OpenLLM-Ro/llama-recipes
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- **Paper:** https://arxiv.org/abs/2406.18266
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## Intended Use
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### Intended Use Cases
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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.
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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/RoLlama2-7b-Instruct")
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model = AutoModelForCausalLM.from_pretrained("OpenLLM-Ro/RoLlama2-7b-Instruct")
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instruction = "Care este cel mai înalt vârf muntos din România?"
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chat = [
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{"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."},
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{"role": "user", "content": instruction},
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]
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prompt = tokenizer.apply_chat_template(chat, tokenize=False)
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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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| Llama-2-7b-chat | 38.03 | 37.95 | 27.22 | 59.29 | 57.22 | 2.53 | 44.00 |
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|*RoLlama2-7b-Instruct*|***45.71***|***43.66***|***39.70***|***70.34*** | *57.36* |***18.78***| *44.44* |
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|RoLlama2-7b-Chat | 43.82 | 41.92 | 37.29 | 66.68 | **57.91**| 13.47 | **45.65**|
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## MT-Bench
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| Model | Average | 1st turn | 2nd turn | Answers in Ro |
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|--------------------|:--------:|:--------:|:--------:|:--------:|
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| Llama-2-7b-chat | 1.21 | 1.68 | 0.74 | 44 / 160 |
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|*RoLlama2-7b-Instruct*| ***3.70***|***4.74***| ***2.66*** | ***160 / 160*** |
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|RoLlama2-7b-Chat | TBC | TBC | TBC | TBC |
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## RoCulturaBench
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| Model | Score | Answers in Ro|
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|--------------------|:--------:|:--------:|
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| Llama-2-7b-chat | 1.72 | 48 / 100 |
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|*RoLlama2-7b-Instruct*| ***3.43***| ***160 / 160*** |
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|RoLlama2-7b-Chat | TBC | TBC |
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## RoLlama2 Model Family
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| Model | Link |
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|--------------------|:--------:|
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|RoLlama2-7b-Base | [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Base) |
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|*RoLlama2-7b-Instruct*| [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Instruct) |
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|RoLlama2-7b-Chat | [link](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Chat) |
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## Citation
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```
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@misc{masala2024vorbecstiromanecsterecipetrain,
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title={"Vorbe\c{s}ti Rom\^ane\c{s}te?" A Recipe to Train Powerful Romanian LLMs with English Instructions},
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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},
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year={2024},
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eprint={2406.18266},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2406.18266},
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}
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```
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<!-- **APA:**
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[More Information Needed] -->
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