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KULLM RLHF by Trofish

 »  All LLMs  »  Trofish  »  KULLM RLHF   URL Share it on

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  Arxiv:2303.16634   Autotrain compatible   Endpoints compatible   Gpt neox   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/Trofish/KULLM-RLHF 

KULLM RLHF Benchmarks

LLME Score: 0.10271
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
KULLM RLHF (Trofish/KULLM-RLHF)
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KULLM RLHF Parameters and Internals

Model Type 
Conversational AI, Chatbot
Use Cases 
Areas:
Research, Chatbot Development
Applications:
Korean language conversational AI
Primary Use Cases:
Friendly and harmless everyday conversations in Korean
Additional Notes 
The final model, implemented with RLHF and DeepSpeedChat, aims to produce high-quality conversational responses that are user-friendly and ethical.
Supported Languages 
Korean (high)
Training Details 
Data Sources:
Self-Instruct using GPT-4, RLHF with human feedback, DeepSpeed optimization
Methodology:
Reinforcement Learning from Human Feedback, Self-Instruct Data Augmentation, DeepSpeed for large-scale distributed deep learning
Hardware Used:
Google Colab A100 40GB GPU
Model Architecture:
Used KULLM as baseline model trained with RLHF and SFT (Supervised Fine-tuning) techniques
LLM NameKULLM RLHF
Repository 🤗https://huggingface.co/Trofish/KULLM-RLHF 
Required VRAM25.8 GB
Updated2025-09-23
MaintainerTrofish
Model Typegpt_neox
Model Files  25.8 GB
Model ArchitectureGPTNeoXForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size30008
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Trofish/KULLM-RLHF.

Rank the KULLM RLHF 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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Release v20241124
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