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README.md
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If you're passionate about the field of Large Language Models and wish to exchange knowledge and insights, we warmly invite you to join our Discord server. It's worth noting that Korean is the primary language used in this server. The landscape of LLM is evolving rapidly, and without active sharing, our collective knowledge risks becoming outdated swiftly. Let's collaborate and drive greater impact together! Join us here: https://discord.gg/b27bAHg95m.
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# yanolja/KoSOLAR-10.7B-v0.1
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This model is a Korean vocabulary-extended version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0), specifically pre-trained on various Korean web-crawled datasets available on HuggingFace. Our approach was to expand the model's understanding of Korean by pre-training the embeddings for new tokens while preserving the original parameters of the base model.
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If you're passionate about the field of Large Language Models and wish to exchange knowledge and insights, we warmly invite you to join our Discord server. It's worth noting that Korean is the primary language used in this server. The landscape of LLM is evolving rapidly, and without active sharing, our collective knowledge risks becoming outdated swiftly. Let's collaborate and drive greater impact together! Join us here: https://discord.gg/b27bAHg95m.
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# Caution
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This model is **DEPRECATED** due to an issue with the tokenizer. A new, corrected version will be uploaded shortly. We strongly advise against fine-tuning this model until the updated version is available. Details for the new version will be provided in a separate model card.
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# yanolja/KoSOLAR-10.7B-v0.1
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This model is a Korean vocabulary-extended version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0), specifically pre-trained on various Korean web-crawled datasets available on HuggingFace. Our approach was to expand the model's understanding of Korean by pre-training the embeddings for new tokens while preserving the original parameters of the base model.
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