Text Generation
PEFT
Safetensors
Korean
Chinese
joseon
hanmun
hanja
korean-translation
lora
qwen
historical-translation
conversational
Instructions to use suhjae/joseon-level4-qwen36-27b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use suhjae/joseon-level4-qwen36-27b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.6-27B") model = PeftModel.from_pretrained(base_model, "suhjae/joseon-level4-qwen36-27b-lora") - Notebooks
- Google Colab
- Kaggle
File size: 924 Bytes
6d2d3a5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"reference_metrics": {
"chrf": null,
"comet": null,
"bleurt": null
},
"source_grounded": {
"person_reading_accuracy": 0.0,
"office_accuracy": 1.0,
"entity_f1": 0.0,
"institutional_term_accuracy": 1.0,
"rough_event_type_accuracy": 0.0,
"action_accuracy": 1.0,
"argument_role_f1": 0.0,
"polarity_accuracy": 1.0,
"hallucinated_entity_rate": 0.0,
"omitted_entity_rate": 0.0,
"office_reading_accuracy": 1.0,
"place_reading_accuracy": 0.0,
"book_reading_accuracy": 0.0,
"all_reading_accuracy": 1.0,
"entity_precision": 0.0,
"entity_recall": 0.0,
"office_title_accuracy": 1.0
},
"style": {
"hanja_output_rate": 0.0,
"untranslated_span_rate": 0.0,
"length_ratio": 0.9556129729266671,
"korean_only_output_rate": 1.0
},
"composite": {
"historical_integrity": 0.7333333333333333,
"overall": 0.7333333333333333
}
} |