Text Classification
PEFT
Safetensors
Vietnamese
lora
unsloth
hallucination-detection
vietnamese
ViHallu
Instructions to use Laplaces-Red-Devils/vihallu-qwen3-4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Laplaces-Red-Devils/vihallu-qwen3-4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-4B-Instruct-2507") model = PeftModel.from_pretrained(base_model, "Laplaces-Red-Devils/vihallu-qwen3-4b-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
File size: 191 Bytes
6ba7200 | 1 2 3 4 5 6 7 8 9 10 | {
"Model/Prompt": "qwen3-4b-lora",
"Accuracy": 0.911,
"Precision": 0.9111,
"Recall": 0.9111,
"Macro-F1": 0.9108,
"n_test": 2000,
"n_unparsed": 0,
"train_runtime_sec": 2345.2
} |