Add the --disable_exllama option for AutoGPTQ
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@ -262,6 +262,7 @@ Optionally, you can use the following command-line flags:
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| `--no_inject_fused_mlp` | Triton mode only: disable the use of fused MLP, which will use less VRAM at the cost of slower inference. |
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| `--no_use_cuda_fp16` | This can make models faster on some systems. |
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| `--desc_act` | For models that don't have a quantize_config.json, this parameter is used to define whether to set desc_act or not in BaseQuantizeConfig. |
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| `--disable_exllama` | Disable ExLlama kernel, which can improve inference speed on some systems. |
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#### ExLlama
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