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.
Xet Storage Details
- Size:
- 457 Bytes
- Xet hash:
- 3cd3ada353e714c2dbdeb17a1f59b544d9ca713420aec0db936f38cca96eee2e
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