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python measure.py -m H:\FModels\Ice0.150-20.10-RP -o H:\RModels\Ice0.150-20.10-RP-v2.ref -q 4bit --projectedpython sharded_ablate.py H:\RModels\Ice0.150-20.10-RP-ABL-v3.yml--clip 0.999 flag during the measuring step. The YAML file needs to be configured for each specific model based on the graphs generated by analyze.py. For further details, please refer to the GitHub page.1model: H:\FModels\Ice0.150-20.10-RP
2measurements: H:\RModels\Ice0.150-20.10-RP-v2.ref
3output: H:\FModels\Ice0.150-20.10-RP-ABLv3
4ablate:
5 - layer: 12
6 measurement: 17
7 scale: 1.0
8 sparsity: 0.00
9 - layer: 13
10 measurement: 17
11 scale: 1.0
12 sparsity: 0.00
13 - layer: 14
14 measurement: 17
15 scale: 1.0
16 sparsity: 0.00
17 - layer: 15
18 measurement: 17
19 scale: 1.0
20 sparsity: 0.00
21 - layer: 16
22 measurement: 17
23 scale: 1.0
24 sparsity: 0.00
25 - layer: 17
26 measurement: 17
27 scale: 1.0
28 sparsity: 0.00
29 - layer: 18
30 measurement: 25
31 scale: 1.0
32 sparsity: 0.00
33 - layer: 19
34 measurement: 25
35 scale: 1.0
36 sparsity: 0.00
37 - layer: 20
38 measurement: 25
39 scale: 1.0
40 sparsity: 0.00
41 - layer: 21
42 measurement: 25
43 scale: 1.0
44 sparsity: 0.00
45 - layer: 22
46 measurement: 25
47 scale: 1.0
48 sparsity: 0.00
49 - layer: 23
50 measurement: 25
51 scale: 1.0
52 sparsity: 0.00
53 - layer: 24
54 measurement: 25
55 scale: 1.0
56 sparsity: 0.00
57 - layer: 25
58 measurement: 25
59 scale: 1.0
60 sparsity: 0.00
61 - layer: 26
62 measurement: 25
63 scale: 1.0
64 sparsity: 0.00
65 - layer: 27
66 measurement: 25
67 scale: 1.0
68 sparsity: 0.00
69 - layer: 28
70 measurement: 25
71 scale: 1.0
72 sparsity: 0.00
73 - layer: 29
74 measurement: 25
75 scale: 1.0
76 sparsity: 0.00
77 - layer: 30
78 measurement: 25
79 scale: 1.0
80 sparsity: 0.00
81 - layer: 31
82 measurement: 25
83 scale: 1.0
84 sparsity: 0.00
851slices:
2 - sources:
3 - model: icefog72/Ice0.150-20.10-RP-ABLv3
4 layer_range: [0, 32]
5 - model: icefog72/IceAbsinthe-7b
6 layer_range: [0, 32]
7
8merge_method: slerp
9base_model: icefog72/IceAbsinthe-7b
10parameters:
11 t:
12 - filter: self_attn
13 value: [0, 0.5, 0.3, 0.7, 1]
14 - filter: mlp
15 value: [1, 0.5, 0.7, 0.3, 0]
16 - value: 0.5 # fallback for rest of tensors
17dtype: bfloat16
18