Instructions to use opalitestudios/qwen3-14b-reddit-moderation-science with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use opalitestudios/qwen3-14b-reddit-moderation-science with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B") model = PeftModel.from_pretrained(base_model, "opalitestudios/qwen3-14b-reddit-moderation-science") - Notebooks
- Google Colab
- Kaggle
Qwen3-14B LoRA moderation adapter -- r/science
LoRA adapter for community-specific Reddit content moderation, fine-tuned on Qwen 3 14B. Given a comment in thread context together with the subreddit's rules, it predicts whether a moderator would remove the comment. Trained on r/science.
From the BSc thesis "Evaluating Open-Source LLMs for Community-Specific Content Moderation on Reddit" (Amsterdam University College / University of Amsterdam, 2026).
Evaluation (balanced test set)
- Cohen's kappa: 0.547
- Macro F1: 0.7736
- Accuracy: 0.7735
Usage
from transformers import AutoModelForCausalLM
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B")
model = PeftModel.from_pretrained(base, "opalitestudios/qwen3-14b-reddit-moderation-science")
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