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

Mistral, Vicuna and Alpaca.

Merge process

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

llmixer/BigWeave-v18-108b

BigWeave v18 108b

Prompting Format

Merge process

llmixer/
BigWeave-v18-108b