mirror of
https://github.com/kvcache-ai/ktransformers.git
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49 lines
No EOL
1.5 KiB
YAML
49 lines
No EOL
1.5 KiB
YAML
- match:
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class: ktransformers.models.modeling_mixtral.MixtralRotaryEmbedding
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replace:
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class: ktransformers.operators.RoPE.RotaryEmbedding
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda"
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- match:
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name: "^model\\.layers\\..*$"
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class: torch.nn.Linear # only match modules matching name and class simultaneously
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replace:
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class: ktransformers.operators.linear.KTransformersLinear # optimized Kernel on quantized data types
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda"
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generate_op: "KLinearMarlin"
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prefill_op: "KLinearTorch"
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- match:
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name: "^model\\.layers\\..*\\.block_sparse_moe$"
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class: ktransformers.models.modeling_mixtral.MixtralSparseMoeBlock
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replace:
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class: ktransformers.operators.experts.KMistralSparseMoEBlock
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- match:
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name: "^model\\.layers\\..*\\.block_sparse_moe\\.experts$"
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replace:
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class: ktransformers.operators.experts.KTransformersExperts
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kwargs:
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prefill_device: "cuda"
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prefill_op: "KExpertsTorch"
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generate_device: "cpu"
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generate_op: "KExpertsCPU"
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out_device: "cuda"
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recursive: False # don't recursively inject submodules of this module
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- match:
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name: "^model.embed_tokens"
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replace:
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class: "default"
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kwargs:
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generate_device: "cpu"
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prefill_device: "cpu"
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- match:
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name: "^model\\.layers\\..*\\."
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replace:
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class: "default"
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda" |