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@@ -11,9 +11,9 @@ tags:
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  - Text Generation
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  pipeline_tag: text-generation
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  ---
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- Model Card for Loquace-Wizard-13B [(Versione in Italiano tradotta da Loquace)](https://huggingface.co/cosimoiaia/Loquace-7B-Mistral/blob/main/Readme-ITA.md)
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- # ๐Ÿ‡ฎ๐Ÿ‡น Loquace-7B-Mistral v0.1 ๐Ÿ‡ฎ๐Ÿ‡น
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  Loquace is an Italian speaking, instruction finetuned, Large Language model. ๐Ÿ‡ฎ๐Ÿ‡น
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@@ -23,7 +23,7 @@ Loquace-Wizard-14B's peculiar features:
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  - Is pretty good a following istructions in Italian.
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  - Responds well to prompt-engineering.
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  - Works well in a RAG (Retrival Augmented Generation) setup.
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- - It has been trained on a relatively raw dataset [Loquace-102K](https://huggingface.co/datasets/cosimoiaia/Loquace-102k) using QLoRa and Mistral-7B-Instruct as base.
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  - Training took only 8 hours on a 3090, costing a little more than <b>2 euro</b>! On [Genesis Cloud](https://gnsiscld.co/26qhlf) GPU.
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  - It is <b><i>Truly Open Source</i></b>: Model, Dataset and Code to replicate the results are completely released.
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  - Created in a garage in the south of Italy.
 
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  - Text Generation
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  pipeline_tag: text-generation
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  ---
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+ Model Card for Loquace-Wizard-13B
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+ # ๐Ÿ‡ฎ๐Ÿ‡น Loquace-Wizard-13B v0.1 ๐Ÿ‡ฎ๐Ÿ‡น
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  Loquace is an Italian speaking, instruction finetuned, Large Language model. ๐Ÿ‡ฎ๐Ÿ‡น
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  - Is pretty good a following istructions in Italian.
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  - Responds well to prompt-engineering.
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  - Works well in a RAG (Retrival Augmented Generation) setup.
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+ - It has been trained on a relatively raw dataset [Loquace-102K](https://huggingface.co/datasets/cosimoiaia/Loquace-102k) using QLoRa and WizardLM-13B-Instruct as base.
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  - Training took only 8 hours on a 3090, costing a little more than <b>2 euro</b>! On [Genesis Cloud](https://gnsiscld.co/26qhlf) GPU.
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  - It is <b><i>Truly Open Source</i></b>: Model, Dataset and Code to replicate the results are completely released.
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  - Created in a garage in the south of Italy.