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--- |
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model_size: 494034560 |
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required_memory: 1.84 |
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accuracy: 0.5080275229357798 |
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metrics: |
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- GLUE_SST-2 |
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license: apache-2.0 |
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datasets: |
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- jtatman/python-code-dataset-500k |
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- Vezora/Tested-143k-Python-Alpaca |
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language: |
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- en |
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- es |
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base_model: Qwen/Qwen2-0.5B |
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library_name: adapter-transformers |
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tags: |
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- llama |
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- minillama |
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- tinyllama |
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- tiny |
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- mini |
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- nemo |
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- minitron |
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- tinytron |
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- ollama |
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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/Tinytron-Qwen2-0.5B |
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This model was fine-tuned using [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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### GLUE_SST-2 |
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**Accuracy:** 0.5080 |
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Model Size: 494,034,560 parameters |
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Required Memory: 1.84 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! |
