File size: 6,486 Bytes
e68af37 04d4eec f690e51 04d4eec e68af37 04d4eec e68af37 04d4eec e68af37 04d4eec |
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 |
---
base_model:
- openchat/openchat-3.5-0106
library_name: transformers
tags:
- mergekit
- merge
---
<p align="center">
<a href="https://ko-fi.com/pretergeek">Buy me a Ko-Fi</a> •
<a href="https://patreon.com/Pretergeek">Support my work using Patreon</a>
</p>
# OpenChat-3.5-0106_BlockExpansion-48Layers-End
This is NOT your usual frankenmerge created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method, but employing a variation of the Block Expansion method described in the paper [LLaMA Pro: Progressive LLaMA with Block Expansion](https://arxiv.org/abs/2401.02415).
The authors of the paper added new layers interleaved in between the original layers of the model, setting the parameters of the o_proj and down_proj layers to zero. This effectively adds layers that will just output their input (as if they were "transparent") allowing the model to remain functional even without further training. These new layers can then be targeted during training or fine-tuning without risking catastrophic forgetting, if you follow the author's training method to freeze the original layers and only train the new layers.
I used the same method but added the new layers to the end of the model. My rationale is that the level of abstraction increases with each layer of the model. So, while new layers spread along the original layers will help the model to learn new tasks, adding layers to the end of the model and then re-training/fine-tuning the model on tasks it already performs well could improve the models understanding of those task and perform them better by employing more complex reasoning.
This model has not yet received additional training, so it should perform close to the original model. Evaluations are pending and will be added when available.
### Models Merged
The following models were included in the merge:
* [openchat/openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [0, 32]
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
- sources:
- model: openchat/openchat-3.5-0106
layer_range: [31, 32]
parameters:
scale:
- filter: o_proj
value: 0.0
- filter: down_proj
value: 0.0
- value: 1.0
merge_method: passthrough
dtype: bfloat16
```
## Citation
```
@misc{wu2024llamaproprogressivellama,
title={LLaMA Pro: Progressive LLaMA with Block Expansion},
author={Chengyue Wu and Yukang Gan and Yixiao Ge and Zeyu Lu and Jiahao Wang and Ye Feng and Ying Shan and Ping Luo},
year={2024},
eprint={2401.02415},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2401.02415},
}
``` |