MiniCPM-Llama3-V-2_5
54.9K
1.4K
8K
GPT-3 class
7.0B
1 language
β
by
openbmb
Image Model
OTHER
Fair
55K downloads
Community-tested
Edge AI:
Mobile
Laptop
Server
16GB+ RAM
Mobile
Laptop
Server
Quick Summary
[2025.01.14] π₯π₯ π₯ We open source MiniCPM-o 2.6, with significant performance improvement over MiniCPM-V 2.6, and support real-time speech-to-speech conversat...
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
7GB+ RAM
Training Data Analysis
π‘ Average (4.8/10)
Researched training datasets used by MiniCPM-Llama3-V-2_5 with quality assessment
Specialized For
general
science
multilingual
reasoning
Training Datasets (4)
common crawl
π΄ 2.5/10
general
science
Key Strengths
- β’Scale and Accessibility: At 9.5+ petabytes, Common Crawl provides unprecedented scale for training d...
- β’Diversity: The dataset captures billions of web pages across multiple domains and content types, ena...
- β’Comprehensive Coverage: Despite limitations, Common Crawl attempts to represent the broader web acro...
Considerations
- β’Biased Coverage: The crawling process prioritizes frequently linked domains, making content from dig...
- β’Large-Scale Problematic Content: Contains significant amounts of hate speech, pornography, violent c...
c4
π΅ 6/10
general
multilingual
Key Strengths
- β’Scale and Accessibility: 750GB of publicly available, filtered text
- β’Systematic Filtering: Documented heuristics enable reproducibility
- β’Language Diversity: Despite English-only, captures diverse writing styles
Considerations
- β’English-Only: Limits multilingual applications
- β’Filtering Limitations: Offensive content and low-quality text remain despite filtering
wikipedia
π‘ 5/10
science
multilingual
Key Strengths
- β’High-Quality Content: Wikipedia articles are subject to community review, fact-checking, and citatio...
- β’Multilingual Coverage: Available in 300+ languages, enabling training of models that understand and ...
- β’Structured Knowledge: Articles follow consistent formatting with clear sections, allowing models to ...
Considerations
- β’Language Inequality: Low-resource language editions have significantly lower quality, fewer articles...
- β’Biased Coverage: Reflects biases in contributor demographics; topics related to Western culture and ...
arxiv
π‘ 5.5/10
science
reasoning
Key Strengths
- β’Scientific Authority: Peer-reviewed content from established repository
- β’Domain-Specific: Specialized vocabulary and concepts
- β’Mathematical Content: Includes complex equations and notation
Considerations
- β’Specialized: Primarily technical and mathematical content
- β’English-Heavy: Predominantly English-language papers
Explore our comprehensive training dataset analysis
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