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MiniCPM3 4B by openbmb

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MiniCPM3 4B is an open-source language model by openbmb. Features: 4b LLM, VRAM: 8.2GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.24.

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

MiniCPM3 4B Benchmarks

LLME Score: 0.23779
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MiniCPM3 4B (openbmb/MiniCPM3-4B)
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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 🤗https://huggingface.co/openbmb/MiniCPM3-4B 
Model Size4b
Required VRAM8.2 GB
Updated2026-05-19
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

Best Alternatives to MiniCPM3 4B

Best Alternatives
Context / RAM
Downloads
Likes
OpenBNB MiniCPM3 4B32K / 8.2 GB60
MiniCPM3 4B GPTQ Int432K / 2.4 GB3111
MiniCPM3 4B GGUF32K / 8.2 GB312

Rank the MiniCPM3 4B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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