churatag-normal

merge

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 kawagoshi-llm-team/llma3_manydata_our_data_rope as a base.

Models Merged

The following models were included in the merge:

• kawagoshi-llm-team/llma3_manydata_not_our_data_rope
• kawagoshi-llm-team/llama3_sft_many_chat

Configuration

The following YAML configuration was used to produce this model:

base_model: kawagoshi-llm-team/llma3_manydata_our_data_rope
dtype: float16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 1.0
slices:
- sources:
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.7653375506603464
      weight: 0.13767610478325062
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.7336602489449524
      weight: 0.3666639544856324
  - layer_range: [0, 8]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.3030835610677404
- sources:
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.9861387586510485
      weight: 0.3948174181228292
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.8413699662162298
      weight: 0.45739982954282526
  - layer_range: [8, 16]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.30274586211044396
- sources:
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.9503146891835705
      weight: 0.2849061463174477
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.832031377573231
      weight: 0.6047693096979141
  - layer_range: [16, 24]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 0.9442991059236329
      weight: 0.4002445342115458
- sources:
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 0.8517897851608993
      weight: 0.3362716927810899
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 1.0
      weight: 0.2909336827183003
  - layer_range: [24, 32]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.3474712168573882
- sources:
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llma3_manydata_our_data_rope
    parameters:
      density: 1.0
      weight: 0.27727322046805786
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llma3_manydata_not_our_data_rope
    parameters:
      density: 0.8394275769864135
      weight: 0.4724670213437233
  - layer_range: [32, 40]
    model: kawagoshi-llm-team/llama3_sft_many_chat
    parameters:
      density: 1.0
      weight: 0.31333702280148296
tokenizer_source: base