leideng/QCFuse / srt /layers /quantization /compressed_tensors
466 GB
2,808 files
Updated 22 days ago
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schemes
README.md457 Bytes
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__init__.py217 Bytes
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compressed_tensors.py24.9 kB
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compressed_tensors_moe.py38.9 kB
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utils.py7.62 kB
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README.md

quantization compressed_tensors module

To support compressed_tensors format quantization models, we adapted https://github.com/vllm-project/vllm/tree/main/vllm/model_executor/layers/quantization/compressed_tensors into SGLang.

For practical purposes, we have only applied the compressed_tensors format of w8a8_fp8. If you have requirements for other formats, you can submit an issue through this link.

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466 GB
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2,808
Last updated
Jun 16
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