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README.md

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-base_model: Agnuxo/Phi-3.5-mini-instruct-python_coding_assistant_16bit
-language: ['en', 'es']
-license: apache-2.0
-tags: ['text-generation-inference', 'transformers', 'unsloth', 'mistral', 'gguf']
-datasets: ['iamtarun/python_code_instructions_18k_alpaca', 'jtatman/python-code-dataset-500k', 'flytech/python-codes-25k', 'Vezora/Tested-143k-Python-Alpaca', 'codefuse-ai/CodeExercise-Python-27k', 'Vezora/Tested-22k-Python-Alpaca', 'mlabonne/Evol-Instruct-Python-26k']
-library_name: adapter-transformers
-metrics: 
+    # Modelo Fine-tuned: Agnuxo/Phi-3.5-mini-instruct-python_coding_assistant_16bit
 
----
+    Este modelo ha sido afinado para la tarea de glue (sst2) y ha sido evaluado con los siguientes resultados:
 
-# Uploaded model
+    - **Precisión (Accuracy)**: 0.5011
+    - **Número de Parámetros**: 3,722,585,088
+    - **Memoria Necesaria**: 13.87 GB
 
-[<img src="https://github.githubassets.com/assets/GitHub-Mark-ea2971cee799.png" width="100"/><img src="https://github.githubassets.com/assets/GitHub-Logo-ee398b662d42.png" width="100"/>](https://github.com/Agnuxo1)
-- **Developed by:** Agnuxo(https://github.com/Agnuxo1)
-- **License:** apache-2.0
-- **Finetuned from model :** Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal
+    Puedes encontrar más detalles en mi [GitHub](https://github.com/Agnuxo1).
 
-This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
-
-
-## Benchmark Results
-
-This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
-
-
-Model Size: 3,821,079,552 parameters
-Required Memory: 14.23 GB
-
-For more details, visit my [GitHub](https://github.com/Agnuxo1).
-
-Thanks for your interest in this model!
+    ¡Gracias por tu interés en este modelo!
+