Qwen_Qwen3-Coder-30B-A3B-Instruct-EXL2

72
2
30.0B
license:apache-2.0
by
ArtusDev
Language Model
OTHER
30B params
New
72 downloads
Early-stage
Try on Hugging FaceAdd to Compare
Edge AI:
Mobile
Laptop
Server
68GB+ RAM
Mobile
Laptop
Server
Quick Summary

EXL2 quants of Qwen/Qwen3-Coder-30B-A3B-Instruct using exllamav2 for quantization.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
28GB+ RAM

Training Data Analysis

🔵 Good (6.0/10)

Researched training datasets used by Qwen_Qwen3-Coder-30B-A3B-Instruct-EXL2 with quality assessment

Specialized For

general
multilingual

Training Datasets (1)

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

Explore our comprehensive training dataset analysis

View All Datasets

Code Examples

Downloading quants with huggingface-clibash
pip install -U "huggingface_hub[cli]"
text
huggingface-cli download ArtusDev/Qwen_Qwen3-Coder-30B-A3B-Instruct-EXL2 --revision "5.0bpw_H6" --local-dir ./

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