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pipeline_tag: text-generation
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[Phi4-mini](https://huggingface.co/microsoft/Phi-4-mini-instruct) model quantized with [torchao](https://huggingface.co/docs/transformers/main/en/quantization/torchao) float8 dynamic activation and float8 weight quantization (per row granularity), by PyTorch team. Use it directly, or serve using [vLLM](https://docs.vllm.ai/en/latest/) with 36% VRAM reduction, 1.15x-1.2x speedup and little to no accuracy impact on H100.
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# Inference with vLLM
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Install vllm nightly to get some recent changes:
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pipeline_tag: text-generation
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[Phi4-mini](https://huggingface.co/microsoft/Phi-4-mini-instruct) model quantized with [torchao](https://huggingface.co/docs/transformers/main/en/quantization/torchao) float8 dynamic activation and float8 weight quantization (per row granularity), by PyTorch team. Use it directly, or serve using [vLLM](https://docs.vllm.ai/en/latest/) with 36% VRAM reduction (5.70 GB needed), 1.15x-1.2x speedup and little to no accuracy impact on H100.
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# Inference with vLLM
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Install vllm nightly to get some recent changes:
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