Text Generation
Transformers
PyTorch
Safetensors
English
Korean
gpt2
generation
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("psyche/kogpt")
model = AutoModelForCausalLM.from_pretrained("psyche/kogpt")Quick Links
Pretrained GPT2 with expanded n_ctx up to 2048(also with expanded embedding dimension to 1536) in Korean.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.27 |
| ARC (25-shot) | 21.16 |
| HellaSwag (10-shot) | 28.11 |
| MMLU (5-shot) | 26.56 |
| TruthfulQA (0-shot) | 42.06 |
| Winogrande (5-shot) | 49.09 |
| GSM8K (5-shot) | 0.0 |
| DROP (3-shot) | 2.89 |
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="psyche/kogpt")