# BigWeave v18 108b

<img src="https://cdn-uploads.huggingface.co/production/uploads/65a6db055c58475cf9e6def1/4CbbAN-X7ZWj702JrcCGH.png" width=600>

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
```
{"language": ["en"], "license": "unknown", "tags": ["frankenmerge", "108b"], "pipeline_tag": "conversational"}
transformers safetensors llama text-generation frankenmerge 108b conversational en license:unknown autotrain_compatible endpoints_compatible text-generation-inference region:us