Hugging Face model: ASSELab/DAT-Qwen2.5-14B-Instruct
Author: ASSELab
Created: 2026-02-16 15:16:20
Last modified: 2026-02-18 09:15:06
Pipeline: text-generation
Library: transformers
Likes: 0 | Downloads: 11
Tags: transformers, safetensors, qwen2, text-generation, pytorch, qwen, llama-3, DAT, robust, adversarial, conversational, dataset:HuggingFaceH4/ultrachat_200k, dataset:walledai/HarmBench, arxiv:2602.15238, arxiv:2405.15589, arxiv:2511.00203, base_model:Qwen/Qwen2.5-14B-Instruct, base_model:finetune:Qwen/Qwen2.5-14B-Instruct, license:mit, text-generation-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: Qwen/Qwen2.5-14B-Instruct
Card metadata:
license: mit
base_model: Qwen/Qwen2.5-14B-Instruct
datasets: HuggingFaceH4/ultrachat_200k, walledai/HarmBench
new_version: ASSELab/DAT-Qwen2.5-14B-Instruct
tags: pytorch, qwen, llama-3, DAT, robust, adversarial
library_name: transformers
paper: title: Closing the Distribution Gap in Adversarial Training for LLMs
url: https://arxiv.org/abs/2602.15238