mergekit_config.yml

# slices:
#   - sources:
#       - model: psmathur/orca_mini_v3_13b
#         layer_range: [0, 40]
#       - model: garage-bAInd/Platypus2-13B
#         layer_range: [0, 40]
# # or, the equivalent models: syntax:
# # models:
# #   - model: psmathur/orca_mini_v3_13b
# #   - model: garage-bAInd/Platypus2-13B
# merge_method: slerp
# base_model: psmathur/orca_mini_v3_13b
# parameters:
#   t:
#     - filter: self_attn
#       value: [0, 0.5, 0.3, 0.7, 1]
#     - filter: mlp
#       value: [1, 0.5, 0.7, 0.3, 0]
#     - value: 0.5 # fallback for rest of tensors
# dtype: float16
# slices:
models:
      - model: /workspace/storage-shared/cnm/embedding/code/llama_1B_legal_retrieval_v2_2.3M_clean_150726_finetune2_07150726/checkpoint-8000 # Mô hình A (Base gốc)
        # layer_range: [0, 36]
      - model: /workspace/storage-shared/cnm/huyhq21_v2/mergekit/output_slerp_1B_data_v2_clean_v6   # Mô hình B (Đã Finetune)
        # layer_range: [0, 36]
merge_method: slerp
base_model: /workspace/storage-shared/cnm/huyhq21_v2/mergekit/output_slerp_1B_data_v2_clean_v6 # Mô hình B (Đã Finetune)
parameters:
  t: 
    #- filter: self_attn
    - filter: layers
      value: [0.2, 0.3, 0.5, 0.6, 0.7, 0.8]
    #- filter: mlp
     # value: [0.2, 0.3, 0.5, 0.6, 0.7, 0.8]
    - value: 0.5 # fallback cho layernorm
dtype: bfloat16

# models:
#   - model: /workspace/storage-shared/cnm/cuongnq23/project_embeding/models/Qwen/Qwen3-Embedding-8B
#   - model: /workspace/storage-shared/cnm/embedding/code/qwen8b_SFT_kalm_vnlaw_3M/checkpoint-20000
# merge_method: slerp
# base_model: /workspace/storage-shared/cnm/cuongnq23/project_embeding/models/Qwen/Qwen3-Embedding-8B
# parameters:
#   t:
#     # Trượt dốc từ 10% (đáy) lên 90% (đỉnh)
#     - value: [0.1, 0.3, 0.5, 0.7, 0.9] 
# dtype: bfloat16