swap-uniba
/

LLaMAntino-3-ANITA-8B-Inst-DPO-ITA

Text Generation

text-generation-inference

Inference Endpoints

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m-polignano-uniba commited on May 10

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@@ -47,7 +47,7 @@ wants to provide Italian NLP researchers with an improved model the for Italian
 - **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.

 - **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.