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update v3 single gpu rule yaml;

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Azure 2025-02-04 16:14:35 +00:00
parent 907251c743
commit ee24a27001
2 changed files with 12 additions and 6 deletions
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3
ktransformers/local_chat.py
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@ -32,8 +32,7 @@ custom_models = {
ktransformer_rules_dir = os.path.dirname(os.path.abspath(__file__)) + "/optimize/optimize_rules/"
default_optimize_rules = {
"DeepseekV2ForCausalLM": ktransformer_rules_dir + "DeepSeek-V2-Chat.yaml",
# "DeepseekV3ForCausalLM": ktransformer_rules_dir + "DeepSeek-V2-Chat.yaml",
"DeepseekV3ForCausalLM": ktransformer_rules_dir + "DeepSeek-V3-Chat-multi-gpu.yaml",
"DeepseekV3ForCausalLM": ktransformer_rules_dir + "DeepSeek-V3-Chat.yaml",
"Qwen2MoeForCausalLM": ktransformer_rules_dir + "Qwen2-57B-A14B-Instruct.yaml",
"LlamaForCausalLM": ktransformer_rules_dir + "Internlm2_5-7b-Chat-1m.yaml",
"MixtralForCausalLM": ktransformer_rules_dir + "Mixtral.yaml",

15
ktransformers/optimize/optimize_rules/DeepSeek-V3-Chat.yaml
View file

@ -1,7 +1,7 @@
- match:
class: ktransformers.models.modeling_deepseek.DeepseekV3YarnRotaryEmbedding
class: ktransformers.models.modeling_deepseek_v3.DeepseekV3RotaryEmbedding
replace:
class: ktransformers.operators.RoPE.YarnRotaryEmbedding
class: ktransformers.operators.RoPE.RotaryEmbeddingV3
kwargs:
generate_device: "cuda"
prefill_device: "cuda"
@ -17,12 +17,19 @@
prefill_op: "KLinearTorch"
- match:
name: "^model\\.layers\\..*\\.mlp$"
class: ktransformers.models.modeling_deepseek.DeepseekV2MoE
class: ktransformers.models.modeling_deepseek_v3.DeepseekV3MoE
replace:
class: ktransformers.operators.experts.KDeepseekV2MoE # mlp module with custom forward function
class: ktransformers.operators.experts.KDeepseekV3MoE # mlp module with custom forward function
kwargs:
generate_device: "cuda"
prefill_device: "cuda"
- match:
class: ktransformers.models.modeling_deepseek_v3.MoEGate
replace:
class: ktransformers.operators.gate.KMoEGate
kwargs:
generate_device: "cuda:0"
prefill_device: "cuda:0"
- match:
name: "^model\\.layers\\..*\\.mlp\\.experts$"
replace: