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--- |
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language: |
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- en |
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datasets: |
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- Intel/orca_dpo_pairs |
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pipeline_tag: text-generation |
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license: cc-by-nc-4.0 |
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--- |
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# AISquare-Instruct-yi-ko-6b-v0.9.30 |
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## Model Details |
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**Developed by** [Inswave Systems](https://www.inswave.com) UI Platform Team |
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**Method** |
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Using DPO method and SFT method |
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**Hardware** |
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We utilized an A100x4 * 1 for training our model |
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**Base Model** |
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[beomi/Yi-Ko-6B](https://huggingface.co/beomi/Yi-Ko-6B) |
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## Open ko-leaderboard Rank |
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<img src='./ko-leaderboard.png' width=512> |
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# Implementation Code |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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import torch |
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repo = "zomd/AISquare-Instruct-yi-ko-6b-v0.9.30" |
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model = AutoModelForCausalLM.from_pretrained( |
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repo, |
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return_dict=True, |
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torch_dtype=torch.float16, |
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device_map='auto' |
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) |
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tokenizer = AutoTokenizer.from_pretrained(repo) |
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``` |
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--- |
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