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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- We-Want-GPU/Yi-Ko-DPO-Orca-DPO-Pairs |
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language: |
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- ko |
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pipeline_tag: text-generation |
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--- |
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# Model Card for Model ID |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65f3ee48b1a907c6aa6d8f06/nGbRfMQEfAW_aDwisKn9T.png) |
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## Model Description |
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<!-- Provide a longer summary of what this model is/does. --> |
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POLAR is a Korean LLM developed by Plateer's AI-lab. It was inspired by Upstage's SOLAR. We will continue to evolve this model and hope to contribute to the Korean LLM ecosystem. |
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- **Developed by:** AI-Lab of Plateer(Woomun Jung, Eunsoo Ha, MinYoung Joo, Seongjun Son) |
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- **Model type:** Language model |
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- **Language(s) (NLP):** ko |
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- **License:** apache-2.0 |
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- Parent Model: x2bee/POLAR-14B-v0.2 |
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## Direct Use |
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``` |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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tokenizer = AutoTokenizer.from_pretrained("x2bee/PLOAR-7B-DPO-v1.0") |
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model = AutoModelForCausalLM.from_pretrained("x2bee/PLOAR-7B-DPO-v1.0") |
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``` |