transformers gguf qwen2 generated_from_trainer en es license:apache-2.0 model-index endpoints_compatible region:us conversational
---
language:
- en
- es
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Agente-Director-Qwen2-7Bron-Instruct_CODE_Python_English_GGUF_16bit
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      config: mrpc
      split: validation
    metrics:
    - type: accuracy
      value: 0.473
      name: Accuracy
    - type: f1
      value: 0.4917
      name: F1
---

# Agente-Director-Qwen2-7Bron-Instruct_CODE_Python_English_GGUF_16bit

[<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:** 16-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:** 0.4730
- **F1 Score:** 0.4917


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


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

Thanks for your interest in this model!
