BagelMix

Name: BagelMix-8x7B-3.5bpw-h6-exl2
Availability: InStock

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:

yaml

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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LoneStriker/BagelMix-8x7B-3.5bpw-h6-exl2

BagelMix

Merge Details

Merge Method

Models Merged

Configuration

LoneStriker/
BagelMix-8x7B-3.5bpw-h6-exl2