BigWeave Viable
Collection
All viable models from the BigWeave series, excluding quantized versions
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7 items
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Updated
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.
Mistral, Vicuna and Alpaca.
This is a self-merge of 152334H/miqu-1-70b-sf. By conducting exl2 measurements, we identify the most relevant layers. The most important layers are extended with layers in-between to create longer series of consecutive layers.
Merge configuration:
slices:
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [0,5]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [1,9]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [5,33]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [16,51]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [34,77]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [75,79]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [77,80]
merge_method: passthrough
dtype: float16