Create README.md

README.md

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+---
+datasets:
+- gsarti/clean_mc4_it
+- Chat-Error/wizard_alpaca_dolly_orca
+- jondurbin/truthy-dpo-v0.1
+- mlabonne/orpo-dpo-mix-40k
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+model_creator: Marco Polignano - SWAP Research Group
+language:
+- en
+- it
+metrics:
+- accuracy
+pipeline_tag: text-generation
+tags:
+- facebook
+- meta
+- pythorch
+- llama
+- llama-3
+- llamantino
+library_name: transformers
+license: llama3
+---
+<img src="https://cdn-uploads.huggingface.co/production/uploads/5df8bb21da6d0311fd3d540f/cZoZdwQOPdQsnQmDXHcSn.png" alt="llamantino3_anita" border="0" width="800px">
+<hr>
+<!--<img src="https://i.ibb.co/6mHSRm3/llamantino53.jpg" width="200"/>-->
+
+<p style="text-align:justify;"><b>LLaMAntino-3-ANITA-8B-Inst-DPO-ITA</b> is a model of the <a href="https://huggingface.co/swap-uniba"><b>LLaMAntino</b></a> - <i>Large Language Models family</i>.
+The model is an instruction-tuned version of <a href="https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct"><b>Meta-Llama-3-8b-instruct</b></a> (a fine-tuned <b>LLaMA 3 model</b>).
+This model version aims to be the a <b>Multilingual Model</b> 🏁  (EN 🇺🇸 + ITA🇮🇹) to further fine-tuning on Specific Tasks in Italian.</p>
+
+
+The 🌟**ANITA project**🌟 *(**A**dvanced **N**atural-based interaction for the **ITA**lian language)*
+wants to provide Italian NLP researchers with an improved model the for Italian Language 🇮🇹 use cases.
+
+<hr>
+
+## Model Details
+
+<img src="https://static.vecteezy.com/system/resources/previews/016/833/880/large_2x/github-logo-git-hub-icon-with-text-on-white-background-free-vector.jpg" width="200"> [https://github.com/marcopoli/LLaMAntino-3-ANITA](https://github.com/marcopoli/LLaMAntino-3-ANITA)<br>
+
+<br>
+
+- [**Full Model: LaMAntino-3-ANITA-8B-Inst-DPO-ITA**](https://huggingface.co/swap-uniba/LLaMAntino-3-ANITA-8B-Inst-DPO-ITA)
+- ExLlamaV2 - **3.0bpw model**
+- ExLlamaV2 - **4.0bpw model** 
+- ExLlamaV2 - **4.5bpw model**
+- ExLlamaV2 - **measurement.json**
+
+<hr>
+
+## Specifications
+
+- **Model developers**: <br><a href="https://marcopoli.github.io/">Ph.D. Marco Polignano</a> - University of Bari Aldo Moro, Italy <br> <a href="https://huggingface.co/swap-uniba">SWAP Research Group</a> <br>
+- **Variations**: The model release has been **supervised fine-tuning (SFT)** using **QLoRA** 4bit, on two instruction-based datasets. **DPO** approach over the *jondurbin/truthy-dpo-v0.1* dataset is used to align with human preferences for helpfulness and safety.
+- **Input**: Models input text only.
+- **Language**: Multilingual 🏁 + Italian 🇮🇹
+- **Output**: Models generate text and code only.
+- **Model Architecture**: *Llama 3 architecture*.
+- **Context length**: 8K, 8192.
+- **Library Used**: [LLaMA.cpp](https://github.com/ggerganov/llama.cpp)
+  
+<hr>
+
+### Prompt Template
+```
+<|start_header_id|>system<|end_header_id|>
+
+{ SYS Prompt }<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{ USER Prompt }<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{ ASSIST Prompt }<|eot_id|>
+````
+
+<hr>
+
+## ExLlamaV2
+
+[ExLlamaV2](https://github.com/turboderp/exllamav2), a great tool that helps us easily Quantize your model in **EXL2 format**.
+
+## Citation instructions
+```bibtex
+@misc{basile2023llamantino,
+      title={LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language}, 
+      author={Pierpaolo Basile and Elio Musacchio and Marco Polignano and Lucia Siciliani and Giuseppe Fiameni and Giovanni Semeraro},
+      year={2023},
+      eprint={2312.09993},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+```bibtex
+@article{llama3modelcard,
+  title={Llama 3 Model Card},
+  author={AI@Meta},
+  year={2024},
+  url = {https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md}
+}
+```