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https://github.com/hiyouga/LLaMA-Factory.git
synced 2026-01-12 17:10:36 +08:00
[fix] correct ktransformers example config paths and templates (#9732)
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@@ -5,6 +5,6 @@ infer_backend: ktransformers # choices: [huggingface, vllm, sglang, ktransforme
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trust_remote_code: true
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use_kt: true # use KTransformers as LoRA sft backend to inference
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kt_optimize_rule: examples/kt_optimize_rules/DeepSeek-V2-Lite-Chat-sft-amx.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/DeepSeek-V2-Lite-Chat-sft-amx.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -1,9 +1,9 @@
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model_name_or_path: opensourcerelease/DeepSeek-V3-bf16
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template: deepseek
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template: deepseek3
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infer_backend: ktransformers # choices: [huggingface, vllm, sglang, ktransformers]
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trust_remote_code: true
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use_kt: true # use KTransformers as LoRA sft backend to inference
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kt_optimize_rule: examples/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -1,10 +1,10 @@
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model_name_or_path: opensourcerelease/DeepSeek-V3-bf16
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adapter_name_or_path: saves/Kllama_deepseekV3
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template: deepseek
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template: deepseek3
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infer_backend: ktransformers # choices: [huggingface, vllm, sglang, ktransformers]
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trust_remote_code: true
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use_kt: true # use KTransformers as LoRA sft backend to inference
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kt_optimize_rule: examples/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -5,6 +5,6 @@ infer_backend: ktransformers # choices: [huggingface, vllm, sglang, ktransforme
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trust_remote_code: true
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use_kt: true # use KTransformers as LoRA sft backend to inference
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kt_optimize_rule: examples/kt_optimize_rules/Qwen3Moe-sft-amx.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/Qwen3Moe-sft-amx.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -10,7 +10,7 @@ lora_rank: 8
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lora_target: all
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### dataset
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dataset: identity
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dataset: identity, alpaca_en_demo
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template: deepseek
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cutoff_len: 2048
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max_samples: 100000
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@@ -40,7 +40,7 @@ resume_from_checkpoint: null
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### ktransformers
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use_kt: true # use KTransformers as LoRA sft backend
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kt_optimize_rule: examples/kt_optimize_rules/DeepSeek-V2-Lite-Chat-sft-amx.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/DeepSeek-V2-Lite-Chat-sft-amx.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -10,8 +10,8 @@ lora_rank: 8
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lora_target: all
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### dataset
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dataset: identity
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template: deepseek
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dataset: identity, alpaca_en_demo
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template: deepseek3
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cutoff_len: 2048
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max_samples: 100000
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overwrite_cache: true
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@@ -40,7 +40,7 @@ resume_from_checkpoint: null
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### ktransformers
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use_kt: true # use KTransformers as LoRA sft backend
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kt_optimize_rule: examples/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/DeepSeek-V3-Chat-sft-amx-multi-gpu.yaml
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cpu_infer: 32
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chunk_size: 8192
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@@ -40,7 +40,7 @@ resume_from_checkpoint: null
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### ktransformers
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use_kt: true # use KTransformers as LoRA sft backend
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kt_optimize_rule: examples/kt_optimize_rules/Qwen3Moe-sft-amx.yaml
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kt_optimize_rule: examples/ktransformers/kt_optimize_rules/Qwen3Moe-sft-amx.yaml
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cpu_infer: 32
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chunk_size: 8192
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