BlueLM 7B Chat 32K by vivo-ai

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

BlueLM 7B Chat 32K 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 32K (vivo-ai/BlueLM-7B-Chat-32K)

BlueLM 7B Chat 32K Parameters and Internals

Model Type 
language model
Supported Languages 
zh (Chinese), en (English), ja (Japanese), ko (Korean)
Training Details 
Data Sources:
Chinese, English, Japanese, Korean
Data Volume:
2.6 trillion tokens
Context Length:
32000
LLM NameBlueLM 7B Chat 32K
Repository ๐Ÿค—https://huggingface.co/vivo-ai/BlueLM-7B-Chat-32K 
Model Size7b
Required VRAM14.5 GB
Updated2025-04-29
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 Size100096
Torch Data Typebfloat16

Best Alternatives to BlueLM 7B Chat 32K

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Context / RAM
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BlueLM 7B Chat2K / 14.5 GB7036
BlueLM 7B Chat 4bits2K / 5.1 GB4912
BlueLM 7B Base2K / 14.5 GB3010
BlueLM 7B Base 32K2K / 14.5 GB1312
Note: green Score (e.g. "73.2") means that the model is better than vivo-ai/BlueLM-7B-Chat-32K.

Rank the BlueLM 7B Chat 32K 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