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TuanAnhHoangBui
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Model Details
Model Provider
TuanAnhHoangBui
Model Tree
Qwen/Qwen3Guard-Gen-4B
Input Modalities
Output Modalities
Supported Functionality
q_proj, v_proj.On the immutable 11,736-example P/PR decoder intersection, Q2 reached 87.83% accuracy and 87.82% macro-F1, with 87.79% safe recall and 87.87% unsafe recall. These are local subset results, not official Qwen benchmark numbers.
python
from peft import PeftModelfrom transformers import AutoModelForCausalLM, AutoTokenizerbase_id = "Qwen/Qwen3Guard-Gen-4B"adapter_id = "REPLACE_WITH_HUB_REPO"tokenizer = AutoTokenizer.from_pretrained(base_id)base = AutoModelForCausalLM.from_pretrained(base_id, torch_dtype="auto")model = PeftModel.from_pretrained(base, adapter_id)
This repository contains only the PEFT adapter and public adapter config; base weights and tokenizer files are not redistributed.
Adapter SHA-256: 86e80a47c77c70480c4caa840c5e08d69695f99d287fe29a739caf2c28b5b972.