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KoSafeGuard 8B 0503 by heegyu

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KoSafeGuard 8B 0503 is an open-source language model by heegyu. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

  Autotrain compatible Base model:maywell/llama-3-ko-... Base model:quantized:maywell/l...   Conversational   Dataset:heegyu/pku-saferlhf-ko Dataset:mrbananahuman/kor ethi...   Endpoints compatible   Gguf   Instruct   Ko   Llama   Q4   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/heegyu/KoSafeGuard-8b-0503 

KoSafeGuard 8B 0503 Benchmarks

LLME Score: 0.13432
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KoSafeGuard 8B 0503 (heegyu/KoSafeGuard-8b-0503)
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KoSafeGuard 8B 0503 Parameters and Internals

Model Type 
text moderation
Additional Notes 
Provides a framework for assessing harmful content. Quantized models allow operation in resource-constrained environments.
Supported Languages 
Korean (native)
Training Details 
Data Sources:
heegyu/PKU-SafeRLHF-ko, MrBananaHuman/kor_ethical_question_answer
Methodology:
Designed to evaluate the harmfulness of text generated by language models. The model identifies various categories of risk such as self-harm, violence, crime, privacy leaks, hate speech, child crime, and sexual content.
Model Architecture:
AutoModelForCausalLM from transformers library.
Responsible Ai Considerations 
Fairness:
The model evaluates text against safety categories and is expected to not encourage violence, hate crimes, sexual content, criminal planning, illegal substances, or self-harm.
Transparency:
Details surrounding the model's decision-making process are not directly outlined.
Accountability:
The developers are accountable for ensuring the model performs reliably and safely across evaluated scenarios.
Mitigation Strategies:
The model applies standard safety categories to assess the safety of textual outputs.
Input Output 
Input Format:
Stringified chat prompts including instruction and response for safety assessment.
Accepted Modalities:
text
Output Format:
Binary output: 'safe' or 'unsafe'.
Performance Tips:
Utilize quantized models for reduced memory usage. Follow the chat prompt format for optimal performance.
LLM NameKoSafeGuard 8B 0503
Repository 🤗https://huggingface.co/heegyu/KoSafeGuard-8b-0503 
Base Model(s)  Llama 3 Ko 8B Instruct   maywell/Llama-3-Ko-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-11-19
Maintainerheegyu
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   5.7 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesko
GGUF QuantizationYes
Quantization Typeq4|gguf|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than heegyu/KoSafeGuard-8b-0503.

Rank the KoSafeGuard 8B 0503 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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