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BlueLM 7B Chat by vivo-ai

 »  All LLMs  »  vivo-ai  »  BlueLM 7B Chat   URL Share it on

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  Autotrain compatible   Bluelm   Custom code   En   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/vivo-ai/BlueLM-7B-Chat 

BlueLM 7B Chat Benchmarks

LLME Score: 0.13795
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 (vivo-ai/BlueLM-7B-Chat)

BlueLM 7B Chat Parameters and Internals

Model Type 
large-scale open-source language model
Supported Languages 
languages_supported (Chinese, English, Japanese, Korean), proficiency_levels (High-quality for Chinese and English, limited data for Japanese and Korean)
Training Details 
Data Sources:
High-quality Chinese, English, and limited Japanese and Korean data
Data Volume:
2.6 trillion tokens
Context Length:
32
LLM NameBlueLM 7B Chat
Repository 🤗https://huggingface.co/vivo-ai/BlueLM-7B-Chat 
Model Size7b
Required VRAM14.5 GB
Updated2025-04-23
Maintainervivo-ai
Model TypeBlueLM
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
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 Size100008
Torch Data Typebfloat16

Best Alternatives to BlueLM 7B Chat

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Context / RAM
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BlueLM 7B Chat 4bits2K / 5.1 GB4812
BlueLM 7B Chat 32K2K / 14.5 GB6838
BlueLM 7B Base2K / 14.5 GB2810
BlueLM 7B Base 32K2K / 14.5 GB1012

Rank the BlueLM 7B Chat 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 v20241227
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