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README.md
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QLoRA μ΄μ©νμ¬ νλ μ§ννμμ΅λλ€.
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λ°μ΄ν°μ
μ νμ΄ λλ©μΈ μ±λ΄μ μν΄ μ§μ ꡬμΆν λ°μ΄ν°μ κΈ°μ‘΄ ν λ°μ΄ν°μ λ§ν¬λ₯Ό μμ νμ¬ νμ΅νμμ΅λλ€.
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [op
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### Base Model : HuggingFaceH4/zephyr-7b-beta
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<img src="https://github.com/ddsntc1/Chatbot_FutFut/assets/38596856/cb1cd8b7-c556-46a8-ab8d-e093af713433.jpg" width="400" height="400">
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#### Summary:
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- **Unsloth** ν¨ν€μ§λ₯Ό μ¬μ©νμ¬ **LoRA** μ§ννμμ΅λλ€.
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- **SFT Trainer**λ₯Ό ν΅ν΄ νλ ¨μ μ§ν
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- νμ© λ°μ΄ν°
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- [q_a_korean_futsal](https://huggingface.co/datasets/Dongwookss/q_a_korean_futsal)
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- λ§ν¬ νμ΅μ μν΄ 'ν΄μ'μ²΄λ‘ λ³ννκ³ λ΅λ³ μ’
λ£μ 'μΌλ§λ μ§ λ¬Όμ΄λ³΄μΈμ~! νν~!'μ λ£μ΄ λͺ¨λΈ 컨μ
μ μ μ§νμμ΅λλ€.
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