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README.md
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- **N煤mero de Par谩metros**: 3,722,585,088
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- **Memoria Necesaria**: 13.87 GB
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---
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base_model: Agnuxo/Phi-3.5-mini-instruct-python_coding_assistant_16bit
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language: ['en', 'es']
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license: apache-2.0
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tags: ['text-generation-inference', 'transformers', 'unsloth', 'mistral', 'gguf']
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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']
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library_name: adapter-transformers
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metrics:
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---
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# Uploaded model
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[<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)
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- **Developed by:** Agnuxo(https://github.com/Agnuxo1)
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- **License:** apache-2.0
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- **Finetuned from model :** Agnuxo/Mistral-NeMo-Minitron-8B-Base-Nebulal
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This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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## Benchmark Results
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This model has been fine-tuned for various tasks and evaluated on the following benchmarks:
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Model Size: 3,821,079,552 parameters
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Required Memory: 14.23 GB
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For more details, visit my [GitHub](https://github.com/Agnuxo1).
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Thanks for your interest in this model!
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