File size: 5,960 Bytes
97a0eb5 47571af |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 |
---
library_name: transformers
tags:
- mergekit
- merge
---
# iceblink-v3d
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
### Models Merged
The following models were included in the merge:
* [zai-org/GLM-4.5-Air](https://huggingface.co/zai-org/GLM-4.5-Air)
* [ApocalypseParty/derestricted-iceblink](https://huggingface.co/ApocalypseParty/derestricted-iceblink)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: ApocalypseParty/derestricted-iceblink
- model: zai-org/GLM-4.5-Air
merge_method: slerp
base_model: zai-org/GLM-4.5-Air
parameters:
t:
- filter: embed_tokens
value: 0.0
- filter: layernorm
value: 0.0
- filter: e_score_correction
value: 0.0
- filter: layers.46.
value: 0.0
- filter: mlp.gate.weight
value: 0.25
- filter: layers.0.
value: 0.30
- filter: mlp.shared
value: 0.60
- filter: layers.1.self_attn
value: 0.30
- filter: layers.2.self_attn
value: 0.30
- filter: layers.3.self_attn
value: 0.28
- filter: layers.4.self_attn
value: 0.28
- filter: layers.5.self_attn
value: 0.26
- filter: layers.6.self_attn
value: 0.26
- filter: layers.7.self_attn
value: 0.24
- filter: layers.8.self_attn
value: 0.24
- filter: layers.9.self_attn
value: 0.20
- filter: layers.10.self_attn
value: 0.18
- filter: layers.11.self_attn
value: 0.18
- filter: layers.12.self_attn
value: 0.18
- filter: layers.13.self_attn
value: 0.18
- filter: layers.14.self_attn
value: 0.18
- filter: layers.15.self_attn
value: 0.18
- filter: layers.16.self_attn
value: 0.18
- filter: layers.17.self_attn
value: 0.18
- filter: layers.18.self_attn
value: 0.18
- filter: layers.19.self_attn
value: 0.20
- filter: layers.20.self_attn
value: 0.20
- filter: layers.21.self_attn
value: 0.22
- filter: layers.22.self_attn
value: 0.24
- filter: layers.23.self_attn
value: 0.28
- filter: layers.24.self_attn
value: 0.32
- filter: layers.25.self_attn
value: 0.36
- filter: layers.26.self_attn
value: 0.40
- filter: layers.27.self_attn
value: 0.44
- filter: layers.28.self_attn
value: 0.48
- filter: layers.29.self_attn
value: 0.50
- filter: layers.30.self_attn
value: 0.52
- filter: layers.31.self_attn
value: 0.54
- filter: layers.32.self_attn
value: 0.55
- filter: layers.33.self_attn
value: 0.55
- filter: layers.34.self_attn
value: 0.55
- filter: layers.35.self_attn
value: 0.55
- filter: layers.36.self_attn
value: 0.58
- filter: layers.37.self_attn
value: 0.60
- filter: layers.38.self_attn
value: 0.62
- filter: layers.39.self_attn
value: 0.62
- filter: layers.40.self_attn
value: 0.60
- filter: layers.41.self_attn
value: 0.58
- filter: layers.42.self_attn
value: 0.55
- filter: layers.43.self_attn
value: 0.52
- filter: layers.44.self_attn
value: 0.48
- filter: layers.45.self_attn
value: 0.45
- filter: layers.1.mlp.experts
value: 0.60
- filter: layers.2.mlp.experts
value: 0.62
- filter: layers.3.mlp.experts
value: 0.64
- filter: layers.4.mlp.experts
value: 0.66
- filter: layers.5.mlp.experts
value: 0.68
- filter: layers.6.mlp.experts
value: 0.70
- filter: layers.7.mlp.experts
value: 0.72
- filter: layers.8.mlp.experts
value: 0.74
- filter: layers.9.mlp.experts
value: 0.76
- filter: layers.10.mlp.experts
value: 0.78
- filter: layers.11.mlp.experts
value: 0.80
- filter: layers.12.mlp.experts
value: 0.80
- filter: layers.13.mlp.experts
value: 0.80
- filter: layers.14.mlp.experts
value: 0.80
- filter: layers.15.mlp.experts
value: 0.82
- filter: layers.16.mlp.experts
value: 0.82
- filter: layers.17.mlp.experts
value: 0.82
- filter: layers.18.mlp.experts
value: 0.82
- filter: layers.19.mlp.experts
value: 0.82
- filter: layers.20.mlp.experts
value: 0.82
- filter: layers.21.mlp.experts
value: 0.82
- filter: layers.22.mlp.experts
value: 0.82
- filter: layers.23.mlp.experts
value: 0.82
- filter: layers.24.mlp.experts
value: 0.82
- filter: layers.25.mlp.experts
value: 0.82
- filter: layers.26.mlp.experts
value: 0.82
- filter: layers.27.mlp.experts
value: 0.82
- filter: layers.28.mlp.experts
value: 0.82
- filter: layers.29.mlp.experts
value: 0.82
- filter: layers.30.mlp.experts
value: 0.82
- filter: layers.31.mlp.experts
value: 0.85
- filter: layers.32.mlp.experts
value: 0.85
- filter: layers.33.mlp.experts
value: 0.85
- filter: layers.34.mlp.experts
value: 0.85
- filter: layers.35.mlp.experts
value: 0.85
- filter: layers.36.mlp.experts
value: 0.85
- filter: layers.37.mlp.experts
value: 0.85
- filter: layers.38.mlp.experts
value: 0.85
- filter: layers.39.mlp.experts
value: 0.85
- filter: layers.40.mlp.experts
value: 0.85
- filter: layers.41.mlp.experts
value: 0.82
- filter: layers.42.mlp.experts
value: 0.78
- filter: layers.43.mlp.experts
value: 0.75
- filter: layers.44.mlp.experts
value: 0.72
- filter: layers.45.mlp.experts
value: 0.70
- value: 0.35
dtype: bfloat16
out_dtype: bfloat16
tokenizer:
source: base
``` |