MiniCPM3 4B by openbmb

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  Arxiv:2404.06395   Autotrain compatible   Conversational   Custom code   En   Minicpm3   Pytorch   Region:us   Zh
Model Card on HF ๐Ÿค—: https://huggingface.co/openbmb/MiniCPM3-4B 

MiniCPM3 4B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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MiniCPM3 4B Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Requires user evaluation and verification for generated content
Additional Notes 
MiniCPM3-4B supports function call and code interpreter, drawing from knowledge learned up to October 2023.
Supported Languages 
zh (proficient), en (proficient)
Training Details 
Context Length:
32000
Input Output 
Input Format:
Chat-based prompts with role annotations
Accepted Modalities:
text
Output Format:
Natural language text
Performance Tips:
Use LLMxMapReduce to handle larger contexts without high memory demand.
LLM NameMiniCPM3 4B
Repository ๐Ÿค—https://huggingface.co/openbmb/MiniCPM3-4B 
Model Size4b
Required VRAM8.2 GB
Updated2025-06-09
Maintaineropenbmb
Model Typeminicpm3
Model Files  8.2 GB
Supported Languageszh en
Model ArchitectureMiniCPM3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size73448
Torch Data Typebfloat16
MiniCPM3 4B (openbmb/MiniCPM3-4B)

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Rank the MiniCPM3 4B 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 v20241124