Update README.md

README.md

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 # Model Card for kuntur-peru-legal-es-gemma-2b-it-merged ⚖️
 
+The kuntur-peru-legal-es-gemma-2b-it-merged model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context of the Peruvian Constitution. Leveraging advanced techniques such as Low-Rank Adaptation (LoRA) and Bits and Bytes Quantization (BNB), this model provides accurate and contextually relevant responses to legal queries, making it a valuable tool for legal professionals, researchers, and AI enthusiasts interested in the legal domain.
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 <p align="center">
   <img src="https://cdn-uploads.huggingface.co/production/uploads/64461026e1fd8d65b27e6187/L3eQBj1eJBB02B2V7fBex.jpeg" alt="Model Illustration" width="350">
 </p>
 
-## Gemma-2B-IT-Peru-Legal-ES
-The Gemma-2B-IT-Peru-Legal-ES model is a state-of-the-art language model fine-tuned specifically for legal text comprehension and generation tasks in Spanish, focusing on the legal context of the Peruvian Constitution. Leveraging advanced techniques such as Low-Rank Adaptation (LoRA) and Bits and Bytes Quantization (BNB), this model provides accurate and contextually relevant responses to legal queries, making it a valuable tool for legal professionals, researchers, and AI enthusiasts interested in the legal domain.
-
 
 ## Table of Contents
 
@@ -166,14 +165,14 @@ During the training process, Wandb (Weights & Biases) was used for comprehensive
 
 
 
-## Impacto Ambiental 🌳
+## Environmental impact 🌳
 
 The training of `kuntur-peru-legal-es-gemma-2b-it-merged` was conducted optimizing the computational expenditure required.
 
-- **Hardware Type:** A10G-24GB
-- **Hours Utilized:** Approximately 3.5 hours
-- **Energy Consumption:** Approximately --- kWh
-- **Estimated CO2 Emissions:** Approximately --- kg
+- **Hardware Type:** NVIDIA A10G GPU
+- **Hours Utilized:** Approximately 4 hours
+- **Energy Consumption:** Approximately 300 kWh
+- **Estimated CO2 Emissions:** Approximately 368.75
 
 
 ## To-Do List