Text Classification
PEFT
Safetensors
qwen3
moderation
toxicity
jailbreak-detection
multi-label
encoder-conversion
Instructions to use opus-research/opus-moderation-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use opus-research/opus-moderation-3 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "opus-research/opus-moderation-3") - Notebooks
- Google Colab
- Kaggle
File size: 1,994 Bytes
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"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 2048,
"id2label": {
"0": "toxicity",
"1": "severe_toxicity",
"2": "obscene",
"3": "threat",
"4": "insult",
"5": "identity_attack",
"6": "sexual_explicit",
"7": "jailbreaking"
},
"initializer_range": 0.02,
"intermediate_size": 6144,
"label2id": {
"identity_attack": 5,
"insult": 4,
"jailbreaking": 7,
"obscene": 2,
"severe_toxicity": 1,
"sexual_explicit": 6,
"threat": 3,
"toxicity": 0
},
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"opus_arch": {
"base_model": "Qwen/Qwen3-1.7B",
"bidirectional": true,
"kept_layers": 28,
"pool": "mean"
},
"pad_token_id": 151643,
"problem_type": "multi_label_classification",
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.14.1",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}
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