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
metrics:
- code_eval
library_name: adapter-transformers
---

# Uploaded  model

[<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

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)
    # Modelo Fine-tuned: Agnuxo/Qwen2_0.5B-Spanish_English_F32

    Este modelo ha sido afinado para la tarea de glue (sst2) y ha sido evaluado con los siguientes resultados:

    - **Precisión (Accuracy)**: 0.4438
    - **Número de Parámetros**: 494,034,560
    - **Memoria Necesaria**: 1.84 GB

    Puedes encontrar más detalles en mi [GitHub](https://github.com/Agnuxo1).

    ¡Gracias por tu interés en este modelo!