Baichuan2 7B Base by baichuan-inc

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

Baichuan2 7B Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Baichuan2 7B Base (baichuan-inc/Baichuan2-7B-Base)

Baichuan2 7B Base Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Considerations:
Ensure compliance with principles and legal requirements
Supported Languages 
English (high), Chinese (high)
Training Details 
Data Sources:
High-quality corpus with 2.6 trillion tokens
Data Volume:
2.6 trillion tokens
Input Output 
Accepted Modalities:
text
LLM NameBaichuan2 7B Base
Repository ๐Ÿค—https://huggingface.co/baichuan-inc/Baichuan2-7B-Base 
Model Size7b
Required VRAM15 GB
Updated2025-02-22
Maintainerbaichuan-inc
Model Typebaichuan
Model Files  9.9 GB: 1-of-2   5.1 GB: 2-of-2
Supported Languagesen zh
Model ArchitectureBaichuanForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.29.2
Tokenizer ClassBaichuanTokenizer
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size125696
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than baichuan-inc/Baichuan2-7B-Base.

Rank the Baichuan2 7B Base 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