BlueLM 7B Chat 4bits by vivo-ai

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  Autotrain compatible   Bluelm   Custom code   En   Pytorch   Region:us   Sharded   Zh

BlueLM 7B Chat 4bits Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BlueLM 7B Chat 4bits (vivo-ai/BlueLM-7B-Chat-4bits)

BlueLM 7B Chat 4bits Parameters and Internals

Model Type 
large language model, pretrained
Use Cases 
Areas:
academic research, commercial applications
Supported Languages 
zh (high), en (high), ja (low), ko (low)
Training Details 
Data Sources:
Chinese, English, Japanese, Korean
Data Volume:
2.6 trillion tokens
Context Length:
32000
Input Output 
Performance Tips:
Utilize CUDA enabled devices for improved performance.
LLM NameBlueLM 7B Chat 4bits
Repository ๐Ÿค—https://huggingface.co/vivo-ai/BlueLM-7B-Chat-4bits 
Model Size7b
Required VRAM5.1 GB
Updated2025-05-15
Maintainervivo-ai
Model TypeBlueLM
Model Files  2.0 GB: 1-of-3   2.0 GB: 2-of-3   1.1 GB: 3-of-3
Supported Languageszh en
Model ArchitectureBlueLMForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.30.1
Tokenizer ClassBlueLMTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size100096
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than vivo-ai/BlueLM-7B-Chat-4bits.

Rank the BlueLM 7B Chat 4bits 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