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metadata
language:
  - en
pipeline_tag: text-generation
license: cc-by-nc-sa-4.0
datasets:
  - databricks/databricks-dolly-15k
  - kyujinpy/KOR-OpenOrca-Platypus-v3

Input Models input text only.

Output Models generate text only.

Base Model beomi/Yi-Ko-6B

Implementation Code

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
repo = "ifuseok/yi-ko-playtus-instruct-v0.2"
OpenOrca = AutoModelForCausalLM.from_pretrained(
        repo,
        return_dict=True,
        torch_dtype=torch.float16,
        device_map='auto'
)
OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)

Prompt Example

<|system|>
μ‹œμŠ€ν…œ λ©”μ‹œμ§€ μž…λ‹ˆλ‹€. <|endoftext|>
<|user|>
μœ μ €  μž…λ‹ˆλ‹€.<|endoftext|>
<|assistant|>
μ–΄μ‹œμŠ€ν„΄νŠΈ μž…λ‹ˆλ‹€.<|endoftext|>