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tools822d ago
Quanto: a PyTorch quantization backend for Optimum
Hugging Face released Quanto, a PyTorch quantization backend for Optimum. This tool helps reduce model size and improve inference speed. You can integrate it with existing Optimum workflows. Quantization enables faster and more efficient model deployment.
Key takeaways
- Reduces model size via quantization.
- Improves inference speed.
- Integrates with Optimum workflows.
Hugging Face released Quanto, a PyTorch quantization backend for Optimum. This tool helps reduce model size and improve inference speed. You can integrate it with existing Optimum workflows. Quantization enables faster and more efficient model deployment.
Key takeaways
- Reduces model size via quantization.
- Improves inference speed.
- Integrates with Optimum workflows.