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---
license: unknown
language:
- en
pipeline_tag: conversational
tags:
- frankenmerge
- 110b
---
# BigWeave v20 110b
<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 merge of 152334H/miqu-1-70b-sf and lizpreciatior/lzlv_70b_fp16_hf. By conducting exl2 measurements, we identify the least important layers of lzlv. These least important layers are extended with layers in-between to create longer series of consecutive layers. These slices are then inserted into miqu.
Merge configuration:
```
slices:
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [0, 1]
- model: lizpreciatior/lzlv_70b_fp16_hf
layer_range: [0, 1]
parameters:
weight: 0
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [1,26]
- sources:
- model: lizpreciatior/lzlv_70b_fp16_hf
layer_range: [9,44]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [27,52]
- sources:
- model: lizpreciatior/lzlv_70b_fp16_hf
layer_range: [45,60]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [53,79]
- sources:
- model: 152334H/miqu-1-70b-sf
layer_range: [79, 80]
- model: lizpreciatior/lzlv_70b_fp16_hf
layer_range: [79, 80]
parameters:
weight: 0
merge_method: linear
parameters:
weight: 1.0
dtype: float16
tokenizer_source: 152334H/miqu-1-70b-sf
``` |