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Julien Chaumond 2025-05-01 14:31:48 +02:00 committed by GitHub
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@ -39,6 +39,6 @@ The custom kernel supports bf16 and fp16 data types, block size of 16, head size
## Unsupported features
The following features are currently not supported in the ROCm version of TGI, and the supported may be extended in the future:
The following features are currently not supported in the ROCm version of TGI, and the support may be extended in the future:
* Loading [AWQ](https://huggingface.co/docs/transformers/quantization#awq) checkpoints.
* Kernel for sliding window attention (Mistral)