DynaGuard 1.7B by tomg-group-umd

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  Arxiv:2509.02563   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-1.7b   Conversational Dataset:tomg-group-umd/dynaben...   Dynaguard   En   Endpoints compatible   Guardrail   Moderation   Qwen3   Region:us   Safetensors   Safety   Umd

DynaGuard 1.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DynaGuard 1.7B (tomg-group-umd/DynaGuard-1.7B)
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DynaGuard 1.7B Parameters and Internals

LLM NameDynaGuard 1.7B
Repository ๐Ÿค—https://huggingface.co/tomg-group-umd/DynaGuard-1.7B 
Base Model(s)  Qwen/Qwen3-1.7B   Qwen/Qwen3-1.7B
Model Size1.7b
Required VRAM4.1 GB
Updated2025-09-06
Maintainertomg-group-umd
Model Typeqwen3
Model Files  4.1 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than tomg-group-umd/DynaGuard-1.7B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124