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1base_model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
2dtype: bfloat16
3merge_method: task_arithmetic
4parameters:
5 int8_mask: 1.0
6 normalize: 0.0
7slices:
8- sources:
9 - layer_range: [0, 2]
10 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
11 parameters:
12 weight: 0.903670769683462
13 - layer_range: [0, 2]
14 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
15- sources:
16 - layer_range: [2, 4]
17 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
18 parameters:
19 weight: 0.8677123591929141
20 - layer_range: [2, 4]
21 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
22- sources:
23 - layer_range: [4, 6]
24 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
25 parameters:
26 weight: 1.0080967885131624
27 - layer_range: [4, 6]
28 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
29- sources:
30 - layer_range: [6, 8]
31 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
32 parameters:
33 weight: 1.288794492088366
34 - layer_range: [6, 8]
35 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
36- sources:
37 - layer_range: [8, 10]
38 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
39 parameters:
40 weight: 1.0927250789898328
41 - layer_range: [8, 10]
42 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
43- sources:
44 - layer_range: [10, 12]
45 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
46 parameters:
47 weight: 1.002818025226096
48 - layer_range: [10, 12]
49 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
50- sources:
51 - layer_range: [12, 14]
52 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
53 parameters:
54 weight: 1.0346267702747531
55 - layer_range: [12, 14]
56 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
57- sources:
58 - layer_range: [14, 16]
59 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
60 parameters:
61 weight: 1.060865068400883
62 - layer_range: [14, 16]
63 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
64- sources:
65 - layer_range: [16, 18]
66 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
67 parameters:
68 weight: 1.0141257624580193
69 - layer_range: [16, 18]
70 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
71- sources:
72 - layer_range: [18, 20]
73 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
74 parameters:
75 weight: 1.2727977176081706
76 - layer_range: [18, 20]
77 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064
78- sources:
79 - layer_range: [20, 22]
80 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_chinese_1905817950
81 parameters:
82 weight: 1.2137521068579595
83 - layer_range: [20, 22]
84 model: /kaggle/working/evol_merge_storage/input_models/TinyLlama_v1.1_684560064