metadata

base_model: []
library_name: transformers
tags:
  - mergekit
  - merge

output

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

Merge Details

Merge Method

This model was merged using the TIES merge method using sometimesanotion/finalize-slerp as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

name:                Lamarck-14B-v0.7-rc4-r1
merge_method:        ties
base_model:          sometimesanotion/finalize-slerp
tokenizer_source:    base
dtype:               float32
out_dtype:           bfloat16
parameters:         
  density:           1.00
  weight:            1.00
  int8_mask:         true
  normalize:         true
  rescale:           false
slices:
  - sources:
    - { layer_range: [  0,  2 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [  2,  6 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [  6, 10 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 10, 14 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 14, 18 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 18, 22 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 22, 26 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 26, 30 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 30, 34 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 34, 38 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 38, 42 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 42, 46 ], model: sometimesanotion/finalize-slerp }
  - sources:
    - { layer_range: [ 46, 48 ], model: sometimesanotion/finalize-slerp }