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DynaGuard 1.7B by tomg-group-umd

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DynaGuard 1.7B is an open-source language model by tomg-group-umd. Features: 1.7b LLM, VRAM: 4.1GB, Context: 40K, License: apache-2.0, LLM Explorer Score: 0.27.

  Arxiv:2509.02563 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
Model Card on HF 🤗: https://huggingface.co/tomg-group-umd/DynaGuard-1.7B 

DynaGuard 1.7B Benchmarks

LLME Score: 0.27011
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 🤗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
Updated2026-04-17
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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BioGenesis ToT40K / 3.4 GB2451
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Qwen3 1.7B FP840K / 2.6 GB4264435
Note: green Score (e.g. "73.2") means that the model is better than tomg-group-umd/DynaGuard-1.7B.

Rank the DynaGuard 1.7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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