Support loading checkpoints quantized using Autofp8 #286
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@Yantom1 I see you merged it to extensions repo, this PR can be closed yes? |
no, it is part of this change. In the extension repo I changed only ops.py file. |
vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
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vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
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vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors.py
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...model_executor/layers/quantization/compressed_tensors/schemes/compressed_tensors_w8a8_fp8.py
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Co-authored-by: Konrad Zawora <kzawora@habana.ai>
michalkuligowski
approved these changes
Sep 25, 2024
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Support loading https://huggingface.co/collections/neuralmagic/fp8-llms-for-vllm-666742ed2b78b7ac8df13127
Skip cuda checks
Use scaled_fp8_quant instead of _scaled_mm
Fix weights and weight_scale for guudi2 flot8_e4m3fn range.