metadata

base_model:
  - mllm-dev/gpt2_f_experiment_0_drug_data
  - mllm-dev/gpt2_f_experiment_3_drug_data
  - mllm-dev/gpt2_f_experiment_4_drug_data
  - mllm-dev/gpt2_f_experiment_2_drug_data
  - mllm-dev/gpt2_f_experiment_1_drug_data
library_name: transformers
tags:
  - mergekit
  - merge

tam_test_merge_out_drug_data_dare_ties

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 mllm-dev/gpt2_f_experiment_0_drug_data as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model:
  model:
    path: mllm-dev/gpt2_f_experiment_0_drug_data
dtype: float16
merge_method: dare_ties
parameters:
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_0_drug_data
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_1_drug_data
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_2_drug_data
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_3_drug_data
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [0, 12]
    model:
      model:
        path: mllm-dev/gpt2_f_experiment_4_drug_data
    parameters:
      density: 0.9
      weight: 0.2