BagelMix
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using jondurbin/bagel-dpo-8x7b-v0.2 as a base.
Models Merged
The following models were included in the merge:
- Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
- NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
Configuration
The following YAML configuration was used to produce this model:
models:
- model: jondurbin/bagel-dpo-8x7b-v0.2
parameters:
density: 1.0
weight: 1.0
- model: Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
parameters:
density: 0.5
weight: [0.33, 0.4, 0.33]
- model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
parameters:
density: [0.33, 0.45, 0.66]
weight: 0.66
merge_method: dare_ties
base_model: jondurbin/bagel-dpo-8x7b-v0.2
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
tokenizer_source : union
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