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Multilingual fine tuned version of LLAMA-3-8B quantized in 4 bits.
Model Details
Model Description
Multilingual fine tuned version of LLAMA-3-8B quantized in 4 bits using common open source datasets and showing improvements over multilingual tasks. It has been used the standard bitquantized technique for post-fine-tuning quantization reducing the computational time complexity and space complexity required to run the model. The overall architecture it's all LLAMA-3 based.
- Developed by: Daniele Comi
- Model type: LLAMA-3-8B
- Language(s) (NLP): Multilingual
- License: MIT
- Finetuned from model: LLAMA-3-8B
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