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README.md
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tags:
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- merge
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- mergekit
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- sh2orc
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- bccard
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- llama3
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base_model:
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- sh2orc/Llama-3-Korean-12B
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---
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**Llama-3-Kor-BCCard-12B** is a Korean financial knowledge model based on Meta-Llama3 8B to 12B parameters through upscaling techniques.
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Although highly reliable data has been refined and fine-tuned using the RLHF method,
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I'm not responsible for any confusion caused by the answers generated by the LLM model.
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- Foundation Model [
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- Dataset
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- [
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# How to Use
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from vllm import LLM, SamplingParams
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from transformers import AutoTokenizer, pipeline
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BASE_MODEL = "
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llm = LLM(model=BASE_MODEL)
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# Q&A Llama-3-BCCard-12B
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```
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Q. ๋น์จ์นด๋์ ๋ํด ์๋ ค์ฃผ์ธ์.
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```bibtex
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@misc{alpha-instruct,
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author = {
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year = {2024},
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publisher = {Hugging Face},
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journal = {Hugging Face repository},
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tags:
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- merge
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- mergekit
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- bccard
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- llama3
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---
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**Llama-3-Kor-BCCard-12B** is a Korean financial knowledge model based on Meta-Llama3 8B to 12B parameters through upscaling techniques.
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Although highly reliable data has been refined and fine-tuned using the RLHF method,
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I'm not responsible for any confusion caused by the answers generated by the LLM model.
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- Foundation Model [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B)
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- Dataset
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- [BCCard/BCCard-Finance-Kor-QnA](https://huggingface.co/datasets/BCCard/BCCard-Finance-Kor-QnA)
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# How to Use
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from vllm import LLM, SamplingParams
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from transformers import AutoTokenizer, pipeline
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BASE_MODEL = "BCCard/Llama-3-Kor-BCCard-Finance-12B"
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llm = LLM(model=BASE_MODEL)
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# Q&A Llama-3-BCCard-Finance-12B
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```
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Q. ๋น์จ์นด๋์ ๋ํด ์๋ ค์ฃผ์ธ์.
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```bibtex
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@misc{alpha-instruct,
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author = {BCCard},
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year = {2024},
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publisher = {Hugging Face},
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journal = {Hugging Face repository},
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