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README.md
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1 |
+
---
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+
base_model:
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- shisa-ai/shisa-v1-llama3-8b
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- aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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- meta-llama/Meta-Llama-3-8B-Instruct
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- lightblue/suzume-llama-3-8B-multilingual
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# final_model
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.
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### Models Merged
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The following models were included in the merge:
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* [shisa-ai/shisa-v1-llama3-8b](https://huggingface.co/shisa-ai/shisa-v1-llama3-8b)
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* [aixsatoshi/Llama-3-youko-8b-instruct-chatvector](https://huggingface.co/aixsatoshi/Llama-3-youko-8b-instruct-chatvector)
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* [lightblue/suzume-llama-3-8B-multilingual](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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dtype: bfloat16
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merge_method: linear
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parameters:
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int8_mask: 1.0
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normalize: 1.0
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slices:
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- sources:
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- layer_range: [0, 4]
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model: lightblue/suzume-llama-3-8B-multilingual
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parameters:
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weight: 0.4149739730274144
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- layer_range: [0, 4]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 0.6781276007090549
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- layer_range: [0, 4]
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model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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parameters:
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weight: 0.34616999273932425
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- layer_range: [0, 4]
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model: shisa-ai/shisa-v1-llama3-8b
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parameters:
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weight: 1.3720042419649354
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+
- sources:
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+
- layer_range: [4, 8]
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model: lightblue/suzume-llama-3-8B-multilingual
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parameters:
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weight: 0.07652836818139683
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+
- layer_range: [4, 8]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 1.234379009181979
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+
- layer_range: [4, 8]
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+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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parameters:
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weight: 1.0146729889059811
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+
- layer_range: [4, 8]
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+
model: shisa-ai/shisa-v1-llama3-8b
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parameters:
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weight: 0.5811532109389872
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+
- sources:
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+
- layer_range: [8, 12]
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model: lightblue/suzume-llama-3-8B-multilingual
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parameters:
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weight: 0.5551700273906248
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- layer_range: [8, 12]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 0.7418501521559635
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+
- layer_range: [8, 12]
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model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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parameters:
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weight: 1.442504375594772
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- layer_range: [8, 12]
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model: shisa-ai/shisa-v1-llama3-8b
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parameters:
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weight: 0.6475631873316974
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- sources:
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- layer_range: [12, 16]
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model: lightblue/suzume-llama-3-8B-multilingual
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parameters:
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weight: 0.4227647782669271
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+
- layer_range: [12, 16]
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model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 1.2969869792284983
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+
- layer_range: [12, 16]
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+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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parameters:
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weight: 0.7818773805802817
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+
- layer_range: [12, 16]
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+
model: shisa-ai/shisa-v1-llama3-8b
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+
parameters:
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+
weight: 0.8007371182560976
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+
- sources:
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+
- layer_range: [16, 20]
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+
model: lightblue/suzume-llama-3-8B-multilingual
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+
parameters:
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weight: 0.10979010874744283
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+
- layer_range: [16, 20]
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+
model: meta-llama/Meta-Llama-3-8B-Instruct
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parameters:
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weight: 0.19009547180175693
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+
- layer_range: [16, 20]
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+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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+
parameters:
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weight: 0.6064294349661996
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+
- layer_range: [16, 20]
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+
model: shisa-ai/shisa-v1-llama3-8b
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+
parameters:
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+
weight: 0.7630087852386511
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+
- sources:
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+
- layer_range: [20, 24]
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+
model: lightblue/suzume-llama-3-8B-multilingual
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+
parameters:
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+
weight: 0.219671192433268
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131 |
+
- layer_range: [20, 24]
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132 |
+
model: meta-llama/Meta-Llama-3-8B-Instruct
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+
parameters:
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+
weight: 0.6303503074132494
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135 |
+
- layer_range: [20, 24]
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136 |
+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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137 |
+
parameters:
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138 |
+
weight: 0.46265431269055757
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139 |
+
- layer_range: [20, 24]
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140 |
+
model: shisa-ai/shisa-v1-llama3-8b
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141 |
+
parameters:
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142 |
+
weight: 1.4662350856064592
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143 |
+
- sources:
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144 |
+
- layer_range: [24, 28]
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145 |
+
model: lightblue/suzume-llama-3-8B-multilingual
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146 |
+
parameters:
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+
weight: 0.1400550380200451
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148 |
+
- layer_range: [24, 28]
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149 |
+
model: meta-llama/Meta-Llama-3-8B-Instruct
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150 |
+
parameters:
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151 |
+
weight: 1.031570135674053
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152 |
+
- layer_range: [24, 28]
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153 |
+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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154 |
+
parameters:
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155 |
+
weight: 0.5760956440228217
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156 |
+
- layer_range: [24, 28]
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157 |
+
model: shisa-ai/shisa-v1-llama3-8b
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158 |
+
parameters:
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159 |
+
weight: 1.5264012437679564
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160 |
+
- sources:
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161 |
+
- layer_range: [28, 32]
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162 |
+
model: lightblue/suzume-llama-3-8B-multilingual
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163 |
+
parameters:
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164 |
+
weight: 1.2311282964552015
|
165 |
+
- layer_range: [28, 32]
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166 |
+
model: meta-llama/Meta-Llama-3-8B-Instruct
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167 |
+
parameters:
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168 |
+
weight: 0.43811773040605967
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169 |
+
- layer_range: [28, 32]
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170 |
+
model: aixsatoshi/Llama-3-youko-8b-instruct-chatvector
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171 |
+
parameters:
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172 |
+
weight: 0.5150682019605872
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173 |
+
- layer_range: [28, 32]
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174 |
+
model: shisa-ai/shisa-v1-llama3-8b
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175 |
+
parameters:
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176 |
+
weight: 0.342193342214983
|
177 |
+
```
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