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Qwen2.5-143B-Doubled72B-Instruct-Mergekit-Merge

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metadata
base_model:
  - Qwen/Qwen2.5-72B-Instruct
library_name: transformers
tags:
  - mergekit
  - merge
license: other

Qwen2.5-143B-Doubled72B-Instruct-Mergekit-Merge by Solshine (Caleb DeLeeuw)

image/png

merge

This is a merge of pre-trained language models created using mergekit.

This model recieved no post merge retraining (yet) and minimal testing. Please contribute any feedback or evaluations of any kind via the community tab.

License

Hippocratic License 3.0 + Ecocide module, + Extractive Industries module, + Copyleft Hippocratic License HL3-CL-ECO-EXTR https://firstdonoharm.dev/version/3/0/cl-eco-extr.txt

Merge Details

Merge Method

This model was merged using the passthrough merge method. Every layer is doubled in order, from Qwen/Qwen2.5-72B-Instruct, creating 143B parameters. No additional fine-tune has been done in this merged model.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [0, 1]
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      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [0, 1]
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        layer_range: [1, 2]
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        layer_range: [1, 2]
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        layer_range: [2, 3]
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        layer_range: [2, 3]
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        layer_range: [3, 4]
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        layer_range: [3, 4]
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      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [4, 5]
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        layer_range: [4, 5]
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      - model: Qwen/Qwen2.5-72B-Instruct
        layer_range: [5, 6]
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        layer_range: [5, 6]
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        layer_range: [6, 7]
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        layer_range: [6, 7]
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        layer_range: [7, 8]
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        layer_range: [7, 8]
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        layer_range: [8, 9]
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        layer_range: [8, 9]
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        layer_range: [9, 10]
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        layer_range: [10, 11]
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        layer_range: [11, 12]
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        layer_range: [11, 12]
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        layer_range: [34, 35]
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        layer_range: [36, 37]
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        layer_range: [79, 80]
merge_method: passthrough
dtype: float16