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90 lines
3.0 KiB
YAML
90 lines
3.0 KiB
YAML
- match:
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class: ktransformers.models.modeling_smallthinker.SmallthinkerRotaryEmbedding
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replace:
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class: ktransformers.operators.RoPE.KSmallthinkerRotaryEmbedding
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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: "^lm_head$" # regular expression
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class: torch.nn.Linear # only match modules matching name and class simultaneously
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replace:
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class: ktransformers.operators.linear.KTransformersLinear # optimized Kernel on quantized data types
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda"
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generate_op: "VLinearMarlin"
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prefill_op: "KLinearTorch"
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# - match:
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# name: "^model\\.layers\\..*$" # regular expression
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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: "VLinearMarlin"
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# prefill_op: "KLinearTorch"
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- match:
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name: "^model\\.layers\\.(?!.*feed_forward\\.shared_expert_gate).*$" # regular expression
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class: torch.nn.Linear # only match modules matching name and class simultaneously
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replace:
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class: ktransformers.operators.linear.KTransformersLinear # optimized Kernel on quantized data types
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda"
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generate_op: "KLinearMarlin"
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prefill_op: "KLinearTorch"
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- match:
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name: "^model\\.layers\\..*\\.block_sparse_moe$"
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class: ktransformers.models.modeling_smallthinker.SmallthinkerMoeBlock
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replace:
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class: ktransformers.operators.experts.KSmallthinkerMoeBlock
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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\\..*\\.block_sparse_moe\\.experts$"
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replace:
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class: ktransformers.operators.experts.KSmallthinkerExperts # custom MoE Kernel with expert paralleism
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kwargs:
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prefill_device: "cuda"
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prefill_op: None
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generate_device: "cpu"
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generate_op: "KExpertsCPU"
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out_device: "cuda"
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recursive: False # don't recursively inject submodules of this module
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- match:
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name: "^model\\.layers\\..*\\.self_attn$"
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replace:
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class: ktransformers.operators.balance_serve_attention.KSmallthinkerAttention # optimized MLA implementation
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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.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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class: ktransformers.models.modeling_smallthinker.SmallthinkerRMSNorm
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replace:
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class: ktransformers.operators.layernorm.KSmallthinkerRMSNorm
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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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class: ktransformers.models.modeling_smallthinker.SmallthinkerDenseMlpBlock
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replace:
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class: ktransformers.operators.mlp.KSmallthinkerDenseMlpBlock
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kwargs:
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generate_device: "cuda"
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prefill_device: "cuda" |