WisdomInterrogatory by ZhihaiLLM

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  Autotrain compatible   Baichuan   Custom code   En   Endpoints compatible   Pytorch   Region:us   Sharded   Zh

WisdomInterrogatory Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WisdomInterrogatory (ZhihaiLLM/wisdomInterrogatory)

WisdomInterrogatory Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (English), zh (Chinese)
Training Details 
Data Sources:
法律文书, 司法案例, 法律问答数据
Data Volume:
40G
Methodology:
二次预训练和指令微调训练
LLM NameWisdomInterrogatory
Repository 🤗https://huggingface.co/ZhihaiLLM/wisdomInterrogatory 
Model Size7b
Required VRAM13.9 GB
Updated2025-04-19
MaintainerZhihaiLLM
Model Typebaichuan
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.8 GB: 7-of-8   0.5 GB: 8-of-8
Supported Languagesen zh
Model ArchitectureBaiChuanForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.27.0
Tokenizer ClassBaiChuanTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ZhihaiLLM/wisdomInterrogatory.

Rank the WisdomInterrogatory 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 v20241227