BigWeave v26 95b
![](https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png)
The BigWeave models aim to experimentally identify merge settings for increasing model performance. The version number merely tracks various attempts and is not a quality indicator. Only results demonstrating good performance are retained and shared.
Prompting Format
Chatml, Mistral, Vicuna.
Merge process
This is a self-merge of 152334H/miqu-1-70b-sf. The last 30 layers are duplicated in groups of 10 layers. According to exl2 measurements, these are among the most important layers.
Merge configuration:
slices:
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [0,54]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [49,59]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [54,64]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [59,69]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [64,74]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [69,79]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [74,80]
merge_method: passthrough
dtype: float16
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152334H/miqu-1-70b-sf
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