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🚀 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!
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!