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Independent publisher

Md Messal Monem Miah

Dipto084

NLP

Models in Library2
Datasets in Library0
Models on Hugging Face6
Followers2

Models

Model · Text generation

Qwen3-8B-TRACE

Md Messal Monem Miah

TRACE is a trajectory-aware defense model for multi-turn jailbreaks. Instead of judging each user message in isolation, it commits to an explicit safety assessment of the whole conversation so far — in a block — and only then writes its reply in an block. The assessment is part of the generation, so the reply is conditioned on it. This is the Qwen3-8B member of the TRACE family; see Dipto084/Llama3.1-8B-TRACE for the Llama-3.1-8B counterpart. This is the model-agnostic transfer experiment of the TRACE paper (§6.3): the full recipe — SFT followed by GRPO, every component of the pipeline held fixed — applied to a model from a different architecture family, with a distinct base…

Open weights apache-2.0 8.2B parameters 40,960 tokens transformers

Model · Text generation

Llama3.1-8B-TRACE

Md Messal Monem Miah

TRACE is a trajectory-aware defense model for multi-turn jailbreaks. Instead of judging each user message in isolation, it commits to an explicit safety assessment of the whole conversation so far — in a block — and only then writes its reply in an block. The assessment is part of the generation, so the reply is conditioned on it. This checkpoint is the paper's TRACE-GRPO model: a LoRA policy trained with group-decoupled GRPO on top of the stage-1 SFT adapter, merged into the base weights for release. Across seven multi-turn attack benchmarks it averages 14.5% ASR, against 31.4% for the strongest baseline and 74.9% for the undefended target, while keeping 93.3% average compliance on…

Open weights llama3.1 8B parameters 131,072 tokens transformers