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DynaGuard 8B by tomg-group-umd

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  Arxiv:2509.02563   Autotrain compatible Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Conversational Dataset:tomg-group-umd/dynaben...   Dynaguard   En   Endpoints compatible   Guardrail   Moderation   Qwen3   Region:us   Safetensors   Safety   Sharded   Tensorflow   Umd
Model Card on HF 🤗: https://huggingface.co/tomg-group-umd/DynaGuard-8B 

DynaGuard 8B Benchmarks

LLME Score: 0.26608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DynaGuard 8B (tomg-group-umd/DynaGuard-8B)
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DynaGuard 8B Parameters and Internals

LLM NameDynaGuard 8B
Repository 🤗https://huggingface.co/tomg-group-umd/DynaGuard-8B 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2025-09-08
Maintainertomg-group-umd
Model Typeqwen3
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.4 GB: 4-of-4
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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...1 0528 Qwen3 8B Abliterated V1128K / 16.4 GB115227
...1 Qwen3 8B ArliAI RpR V4 Small128K / 16.4 GB120917
DeepSeek R1 0528 Qwen3 8B Bf16128K / 16.3 GB11892
...8 Qwen3 8B Abliterated V1 Bf16128K / 16.3 GB11781
OPC R1 8B128K / 16.4 GB1513
Note: green Score (e.g. "73.2") means that the model is better than tomg-group-umd/DynaGuard-8B.

Rank the DynaGuard 8B Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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