Ramikan-BR
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README.md
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# Uploaded model
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- **Developed by:** Ramikan-BR
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit
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This llama 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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# Uploaded model
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- **Developed by:** Ramikan-BR
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- **Model type:** [text-generation/Python Coder]
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- **Language(s) (NLP):** [en]
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- **License:** apache-2.0
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- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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### Training Data
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datasets: [Ramikan-BR/data-oss_instruct-decontaminated_python.jsonl](https://huggingface.co/datasets/Ramikan-BR/data-oss_instruct-decontaminated_python.jsonl)
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### Training Procedure
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The model was refined using [Unsloath](https://github.com/unslothai/unsloth). The dataset [ise-uiuc/Magicoder-OSS-Instruct-75K](https://huggingface.co/datasets/ise-uiuc/Magicoder-OSS-Instruct-75K/blob/main/data-oss_instruct-decontaminated.jsonl) was adjusted, leaving only data on python and divided into 10 parts, each refinement occurred for 2 epochs, using adafactor optimizer or adamw_8bit (adafactor seems to deliver less loss).
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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This llama 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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