Kaleido-14B-S2V

5
license:mit
by
zai-org
Other
OTHER
14B params
New
0 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
32GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
14GB+ RAM

Training Data Analysis

šŸ”µ Good (6.0/10)

Researched training datasets used by Kaleido-14B-S2V with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

c4
šŸ”µ 6/10
general
multilingual
Key Strengths
  • ā€¢Scale and Accessibility: 750GB of publicly available, filtered text
  • ā€¢Systematic Filtering: Documented heuristics enable reproducibility
  • ā€¢Language Diversity: Despite English-only, captures diverse writing styles
Considerations
  • ā€¢English-Only: Limits multilingual applications
  • ā€¢Filtering Limitations: Offensive content and low-quality text remain despite filtering

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Checkpoints Downloadbash
# Download the repository (skip automatic LFS file downloads)
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Crilias/Kaleido-14B-S2V

# Enter the repository folder
cd Kaleido-14B-S2V

# Merge the checkpoint files
python merge_kaleido.py

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