🚀 AutoRound(
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🚀 AutoRound(
https://github.com/intel/auto-round
https://github.com/intel/auto-round
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) is now supported by SGLang!
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) is now supported by SGLang!
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After integrations with TorchAO, Transformers, and VLLM, AutoRound-quantized models are now officially compatible with SGLang — bringing faster and more flexible deployment to your LLM workflows.
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After integrations with TorchAO, Transformers, and VLLM, AutoRound-quantized models are now officially compatible with SGLang — bringing faster and more flexible deployment to your LLM workflows.
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💡 We’ve also enhanced the RTN mode (--iters 0), cutting quantization costs significantly for low-resource users.
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💡 We’ve also enhanced the RTN mode (--iters 0), cutting quantization costs significantly for low-resource users.
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⭐ Star our repo and stay tuned for more exciting updates!
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⭐ Star our repo and stay tuned for more exciting updates!
🚀 AutoRound(https://github.com/intel/auto-round) is now supported by SGLang!

After integrations with TorchAO, Transformers, and VLLM, AutoRound-quantized models are now officially compatible with SGLang — bringing faster and more flexible deployment to your LLM workflows.

💡 We’ve also enhanced the RTN mode (--iters 0), cutting quantization costs significantly for low-resource users.

⭐ Star our repo and stay tuned for more exciting updates!
🚀
John6666 wenhuach