README.md

---
language:
- en
- es
license: apache-2.0
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: Agente-Director-Qwen2-7B-Instruct_CODE_Python-GGUF_Spanish_English_8bit
  results:
  - task: 
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: validation
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.6078
      - name: F1
        type: f1
        value: 0.6981
---

# Agente-Director-Qwen2-7B-Instruct_CODE_Python-GGUF_Spanish_English_8bit

[<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:** Qwen/Qwen2-7B-Instruct

This model was fine-tuned using [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)

## Model Details

- **Model Parameters:** 7070.63 million
- **Model Size:** 13.61 GB
- **Quantization:** 8-bit quantized
- **Estimated GPU Memory Required:** ~13 GB

Note: The actual memory usage may vary depending on the specific hardware and runtime environment.

## Benchmark Results

This model has been fine-tuned and evaluated on the GLUE MRPC task:

- **Accuracy:** 0.6078
- **F1 Score:** 0.6981


![GLUE MRPC Metrics](./glue_mrpc_metrics.png)


For more details, visit my [GitHub](https://github.com/Agnuxo1).

Thanks for your interest in this model!