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tools415d ago
Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs
Intel introduced AutoRound, an open-source quantization tool for large language models and vision language models. AutoRound aims to optimize model deployment on hardware by reducing precision requirements. This can lead to faster inference and lower memory usage. You can explore AutoRound on the Hugging Face platform.
Key takeaways
- AutoRound is open-source and available on Hugging Face.
- Optimizes model deployment by reducing precision requirements.
- Enables faster inference and lower memory usage.
tools415d ago
Introducing AutoRound: Intel’s Advanced Quantization for LLMs and VLMs
Intel introduced AutoRound, an open-source quantization tool for large language models and vision language models. AutoRound aims to optimize model deployment on hardware by reducing precision requirements. This can lead to faster inference and lower memory usage. You can explore AutoRound on the Hugging Face platform.
Key takeaways
- AutoRound is open-source and available on Hugging Face.
- Optimizes model deployment by reducing precision requirements.
- Enables faster inference and lower memory usage.