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MBTIGPT Zh ESFP by pandalla

 »  All LLMs  »  pandalla  »  MBTIGPT Zh ESFP   URL Share it on

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  Arxiv:2311.10122   Arxiv:2312.12999   Baichuan   Custom code   En   Feature-extraction   Machinemindset   Mbti   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/pandalla/MBTIGPT_zh_ESFP 

MBTIGPT Zh ESFP Benchmarks

LLME Score: 0.12599
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MBTIGPT Zh ESFP (pandalla/MBTIGPT_zh_ESFP)
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MBTIGPT Zh ESFP Parameters and Internals

Model Type 
text generation
Additional Notes 
The MM_zh_ESFP model is fine-tuned for the ESFP MBTI personality type.
Supported Languages 
Chinese (Native/proficient)
Training Details 
Data Sources:
自构成的大规模MBTI数据集
Methodology:
多阶段的微调和DPO训练
LLM NameMBTIGPT Zh ESFP
Repository 🤗https://huggingface.co/pandalla/MBTIGPT_zh_ESFP 
Required VRAM15 GB
Updated2025-10-18
Maintainerpandalla
Model Typebaichuan
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Supported Languageszh en
Model ArchitectureBaichuanForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassBaichuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125696
Torch Data Typebfloat16

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MBTIGPT Zh INTP4K / 15 GB116
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Note: green Score (e.g. "73.2") means that the model is better than pandalla/MBTIGPT_zh_ESFP.

Rank the MBTIGPT Zh ESFP 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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