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| Name | Quant method | Size |
|---|---|---|
| my-cool-model1122.Q2_K.gguf | Q2_K | 2.96GB |
| my-cool-model1122.IQ3_XS.gguf | IQ3_XS | 3.28GB |
| my-cool-model1122.IQ3_S.gguf | IQ3_S | 3.43GB |
| my-cool-model1122.Q3_K_S.gguf | Q3_K_S | 3.41GB |
| my-cool-model1122.IQ3_M.gguf | IQ3_M | 3.52GB |
| my-cool-model1122.Q3_K.gguf | Q3_K | 3.74GB |
| my-cool-model1122.Q3_K_M.gguf | Q3_K_M | 3.74GB |
| my-cool-model1122.Q3_K_L.gguf | Q3_K_L | 4.03GB |
| my-cool-model1122.IQ4_XS.gguf | IQ4_XS | 4.18GB |
| my-cool-model1122.Q4_0.gguf | Q4_0 | 4.34GB |
| my-cool-model1122.IQ4_NL.gguf | IQ4_NL | 4.38GB |
| my-cool-model1122.Q4_K_S.gguf | Q4_K_S | 4.37GB |
| my-cool-model1122.Q4_K.gguf | Q4_K | 4.58GB |
| my-cool-model1122.Q4_K_M.gguf | Q4_K_M | 4.58GB |
| my-cool-model1122.Q4_1.gguf | Q4_1 | 4.78GB |
| my-cool-model1122.Q5_0.gguf | Q5_0 | 5.21GB |
| my-cool-model1122.Q5_K_S.gguf | Q5_K_S | 5.21GB |
| my-cool-model1122.Q5_K.gguf | Q5_K | 5.34GB |
| my-cool-model1122.Q5_K_M.gguf | Q5_K_M | 5.34GB |
| my-cool-model1122.Q5_1.gguf | Q5_1 | 5.65GB |
| my-cool-model1122.Q6_K.gguf | Q6_K | 6.14GB |
| my-cool-model1122.Q8_0.gguf | Q8_0 | 7.95GB |
1base_model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
2dtype: bfloat16
3merge_method: dare_ties
4parameters:
5 int8_mask: 1.0
6 normalize: 1.0
7slices:
8- sources:
9 - layer_range: [0, 4]
10 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
11 parameters:
12 density: 0.863485562098192
13 weight: 0.22651847020495885
14 - layer_range: [0, 4]
15 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
16 parameters:
17 density: 0.9343953420777168
18 weight: 0.5036150562646258
19 - layer_range: [0, 4]
20 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
21 parameters:
22 density: 1.0
23 weight: 0.6451005324417585
24- sources:
25 - layer_range: [4, 8]
26 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
27 parameters:
28 density: 0.9846266882538002
29 weight: 0.5639921695621852
30 - layer_range: [4, 8]
31 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
32 parameters:
33 density: 1.0
34 weight: 0.3231299604274662
35 - layer_range: [4, 8]
36 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
37 parameters:
38 density: 0.9908955898534834
39 weight: 0.21486915206711796
40- sources:
41 - layer_range: [8, 12]
42 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
43 parameters:
44 density: 0.9065299264285266
45 weight: 0.2987555834921648
46 - layer_range: [8, 12]
47 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
48 parameters:
49 density: 0.8840782503058148
50 weight: 0.26619854603379545
51 - layer_range: [8, 12]
52 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
53 parameters:
54 density: 0.9914153096559333
55 weight: 0.4573592950405189
56- sources:
57 - layer_range: [12, 16]
58 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
59 parameters:
60 density: 0.9740298213855892
61 weight: 0.48137164129667176
62 - layer_range: [12, 16]
63 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
64 parameters:
65 density: 1.0
66 weight: 0.27412584703978277
67 - layer_range: [12, 16]
68 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
69 parameters:
70 density: 0.8407412390278275
71 weight: 0.3182141906839257
72- sources:
73 - layer_range: [16, 20]
74 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
75 parameters:
76 density: 1.0
77 weight: 0.2240504757935422
78 - layer_range: [16, 20]
79 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
80 parameters:
81 density: 1.0
82 weight: 0.23938850503773312
83 - layer_range: [16, 20]
84 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
85 parameters:
86 density: 0.9687795057288319
87 weight: 0.5987730759861593
88- sources:
89 - layer_range: [20, 24]
90 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
91 parameters:
92 density: 1.0
93 weight: 0.09945022964618122
94 - layer_range: [20, 24]
95 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
96 parameters:
97 density: 1.0
98 weight: 0.26835539762495914
99 - layer_range: [20, 24]
100 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
101 parameters:
102 density: 0.8139356897740962
103 weight: 0.4942452603808056
104- sources:
105 - layer_range: [24, 28]
106 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
107 parameters:
108 density: 1.0
109 weight: 0.20318580465269015
110 - layer_range: [24, 28]
111 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
112 parameters:
113 density: 1.0
114 weight: 0.16861512537170825
115 - layer_range: [24, 28]
116 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
117 parameters:
118 density: 1.0
119 weight: 0.15118597877918583
120- sources:
121 - layer_range: [28, 32]
122 model: ../evol_merge_storage/input_models/Llama-3.1-Swallow-8B-v0.2_4249862252
123 parameters:
124 density: 0.7988559962120717
125 weight: 0.34008425117612984
126 - layer_range: [28, 32]
127 model: ../evol_merge_storage/input_models/llama-3-chinese-8b_120379959
128 parameters:
129 density: 1.0
130 weight: 0.2824977970939407
131 - layer_range: [28, 32]
132 model: ../evol_merge_storage/input_models/Llama-3-ELYZA-JP-8B_2371007997
133 parameters:
134 density: 0.7131873401997189
135 weight: 0.5228166170045327
136tokenizer_source: base