Yi-Ko-6B-inst-v0.1

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• Finetuned from model [optional]: [beomi/Yi-Ko-6B]

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Training Details

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• Training regime: [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->

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Evaluation

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Testing Data, Factors & Metrics

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Summary

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Environmental Impact

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

@misc {lee_junbum_2024, author = { {Lee Junbum} }, title = { Yi-Ko-6B (Revision 205083a) }, year = 2024, url = { https://huggingface.co/beomi/Yi-Ko-6B }, doi = { 10.57967/hf/1708 }, publisher = { Hugging Face } }

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Framework versions

• PEFT 0.9.1.dev0