Update mergekit_config.yml
Browse files- mergekit_config.yml +5 -411
mergekit_config.yml
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_classification_gradient2_full/
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# parameters:
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# weight: 1
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_clustering_gradient2_full/
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# parameters:
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# weight: 1
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_retrieval_gradient2_full/
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# parameters:
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# weight: 1
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_sts_gradient2_full/
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# parameters:
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# weight: 1
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# merge_method: multislerp
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_classification_gradient2_full/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_sts_gradient2_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_classification_gradient2_full/
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_sts_classification_selerp
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_clustering_gradient2_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_sts_classification_selerp
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_sts_classification_clustering_selerp
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_task_level_merging_retrieval_gradient2_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_sts_classification_clustering_selerp
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_other_full
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_other_full
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_other_full
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# parameters:
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# t: 0.5
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-0.6B_cut0.15_clustering1/
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# parameters:
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# weight: 0.863526622
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-0.6B_cut0.15_clustering2/
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# parameters:
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# weight: 0.020574888
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-0.6B_cut0.15_clustering3/
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# parameters:
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# weight: 0.11589849
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# merge_method: ties
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# base_model: /mnt/data/models/Qwen/Qwen3-0.6B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering3_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# parameters:
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# t: 0.84
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering23_slerp
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering23_slerp
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# parameters:
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# t: 0.86
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 0.863526622
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# parameters:
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# weight: 0.020574888
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering3_full/
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# parameters:
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# weight: 0.11589849
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# merge_method: ties
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 0.4
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# parameters:
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# weight: 0.3
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering3_full/
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# parameters:
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# weight: 0.3
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# merge_method: ties
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 1
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# parameters:
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# weight: 1
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering3_full/
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# parameters:
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# weight: 1
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# merge_method: ties
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering3_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering2_full/
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering23_slerp55
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering23_slerp55
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering_retrieval123_slerp55/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_clustering_retrieval123_slerp55/
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# parameters:
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# t: 0.5
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-hotpotqa_0.02_8_5e-5_16_lora32_full/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-imdb_classification_0.02_2_5e-5_16_lora32_full
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-hotpotqa_0.02_8_5e-5_16_lora32_full/
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# parameters:
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# t: 0.5
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 0.5
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# parameters:
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# weight: 0.5
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# merge_method: dare_ties
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# merge_method: model_stock
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# merge_method: karcher
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-medrxiv_title_0.02_8_5e-5_16_lora32_full
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# parameters:
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# weight: 0.5
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-squad_0.02_8_5e-5_16_lora32_full
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# parameters:
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# weight: 0.5
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# merge_method: multislerp
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-medrxiv_title_0.02_8_5e-5_16_lora32_full
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-squad_0.02_8_5e-5_16_lora32_full
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-medrxiv_title_0.02_8_5e-5_16_lora32_full
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# parameters:
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# t: 0.5
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 0.863
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# parameters:
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# weight: 0.137
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# merge_method: task_arithmetic
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# weight: 0.863
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# parameters:
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# weight: 0.137
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# merge_method: ties
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# base_model: /mnt/data/models/Qwen/Qwen3-4B
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# parameters:
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# normalize: true
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# int8_mask: true
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# dtype: float32
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# slices:
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# layer_range: [0, 36]
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_full/
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# layer_range: [0, 36]
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# merge_method: slerp
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# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.15_clustering1_full/
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# parameters:
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# t: 0.137
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# dtype: float32
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| 304 |
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# slices:
|
| 305 |
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# - sources:
|
| 306 |
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_other_cut0.15_clustering1_slerp_same_weighted
|
| 307 |
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# layer_range: [0, 36]
|
| 308 |
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# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled_full
|
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# layer_range: [0, 36]
|
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# merge_method: slerp
|
| 311 |
-
# base_model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_cut0.2_clustering2_other_cut0.15_clustering1_slerp_same_weighted
|
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# parameters:
|
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# t: 0.5
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# dtype: float32
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# slices:
|
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# - sources:
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-squad_0.02_8_5e-5_16_lora32_full
|
| 320 |
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# layer_range: [0, 36]
|
| 321 |
-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-medrxiv_abstract_0.02_8_5e-5_16_lora32_full
|
| 322 |
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# layer_range: [0, 36]
|
| 323 |
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# merge_method: slerp
|
| 324 |
-
# base_model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-gradient2-squad_0.02_8_5e-5_16_lora32_full
|
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# parameters:
|
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# t: 0.5
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# dtype: float32
|
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# models:
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# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-sts_0.02_8_5e-5_16_lora32_full
|
| 331 |
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# parameters:
|
| 332 |
-
# weight: 0.5
|
| 333 |
-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-toxic_conversations_classification_0.02_2_5e-5_16_lora32_full
|
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# parameters:
|
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# weight: 0.5
|
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-
# merge_method: multislerp
|
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-
# dtype: float32
|
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# models:
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-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-sts_0.02_8_5e-5_16_lora32_full
|
| 341 |
-
# parameters:
|
| 342 |
-
# weight: 0.07
|
| 343 |
-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-tweet_sentiment_extraction_classification_0.02_3_5e-5_16_lora32_full
|
| 344 |
-
# parameters:
|
| 345 |
-
# weight: 0.93
|
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-
# merge_method: multislerp
|
| 347 |
-
# dtype: float32
|
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# models:
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-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-sts_0.02_8_5e-5_16_lora32_full
|
| 353 |
-
# parameters:
|
| 354 |
-
# weight: 0.5
|
| 355 |
-
# - model: /root/paddlejob/workspace/env_run/output/model_merge_checkpoint/Qwen3-4B-grdient2-tweet_sentiment_extraction_classification_0.02_3_5e-5_16_lora32_full
|
| 356 |
-
# parameters:
|
| 357 |
-
# weight: 0.5
|
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-
# merge_method: multislerp
|
| 359 |
-
# dtype: float32
|
| 360 |
-
|
| 361 |
-
|
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-
# models:
|
| 363 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled50_full
|
| 364 |
-
# parameters:
|
| 365 |
-
# weight: 0.5
|
| 366 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled_other50_full
|
| 367 |
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# parameters:
|
| 368 |
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# weight: 0.5
|
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# merge_method: multislerp
|
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-
# dtype: float32
|
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-
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-
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-
# models:
|
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-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled_jsonl_output60_seed1_full
|
| 376 |
-
# parameters:
|
| 377 |
-
# weight: 0.5
|
| 378 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled_60_seed100_full
|
| 379 |
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# parameters:
|
| 380 |
-
# weight: 0.5
|
| 381 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_data_mixing_gradient2_sampled60_full
|
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# parameters:
|
| 383 |
-
# weight: 0.5
|
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# merge_method: multislerp
|
| 385 |
-
# dtype: float32
|
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-
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-
# models:
|
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-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_general_all_data_sampled20_full
|
| 390 |
-
# parameters:
|
| 391 |
-
# weight: 0.2
|
| 392 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_original_4B_with_mrl_general_all_data_sampled40_full
|
| 393 |
-
# parameters:
|
| 394 |
-
# weight: 0.4
|
| 395 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_original_4B_with_mrl_general_all_data_sampled60_full
|
| 396 |
-
# parameters:
|
| 397 |
-
# weight: 0.6
|
| 398 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_general_all_data_sampled80_full
|
| 399 |
-
# parameters:
|
| 400 |
-
# weight: 0.8
|
| 401 |
-
# - model: /root/paddlejob/workspace/env_run/output/FlagEmbedding-master/Qwen3-4B_original_4B_with_mrl_general_all_data_full
|
| 402 |
-
# parameters:
|
| 403 |
-
# weight: 1.0
|
| 404 |
-
# merge_method: multislerp
|
| 405 |
-
# dtype: float32
|
| 406 |
-
|
| 407 |
|
| 408 |
models:
|
| 409 |
-
- model:
|
| 410 |
parameters:
|
| 411 |
weight: 0.2
|
| 412 |
-
- model:
|
| 413 |
parameters:
|
| 414 |
weight: 0.4
|
| 415 |
-
- model:
|
| 416 |
parameters:
|
| 417 |
weight: 0.6
|
| 418 |
-
- model:
|
| 419 |
parameters:
|
| 420 |
weight: 0.8
|
| 421 |
-
- model:
|
| 422 |
parameters:
|
| 423 |
weight: 1.0
|
| 424 |
merge_method: multislerp
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|
| 1 |
|
| 2 |
models:
|
| 3 |
+
- model: Qwen3-4B_general_all_data_sampled20_without_mrl_full
|
| 4 |
parameters:
|
| 5 |
weight: 0.2
|
| 6 |
+
- model: Qwen3-4B_original_4B_without_mrl_general_all_data_sampled40_full
|
| 7 |
parameters:
|
| 8 |
weight: 0.4
|
| 9 |
+
- model: Qwen3-4B_original_4B_without_mrl_general_all_data_sampled60_full
|
| 10 |
parameters:
|
| 11 |
weight: 0.6
|
| 12 |
+
- model: Qwen3-4B_general_all_data_sampled80_without_mrl_full
|
| 13 |
parameters:
|
| 14 |
weight: 0.8
|
| 15 |
+
- model: Qwen3-4B_data_mixing_gradient2_plus_code_multilingual_full
|
| 16 |
parameters:
|
| 17 |
weight: 1.0
|
| 18 |
merge_method: multislerp
|