HyperBlaze/L3-8B-Soliloquy-TheSpice-Hermes2pro-merge-v1

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 openlynn/Llama-3-Soliloquy-8B-v2 as a base.

Models Merged

The following models were included in the merge:

• cgato/L3-TheSpice-8b-v0.8.3
• NousResearch/Hermes-2-Pro-Llama-3-8B

Configuration

The following YAML configuration was used to produce this model:

base_model: openlynn/Llama-3-Soliloquy-8B-v2
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 4]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 1.0
      weight: 0.6861808716092435
  - layer_range: [0, 4]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.6628290134113985
      weight: 0.5815923052193855
  - layer_range: [0, 4]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 1.0
      weight: 0.5113886163963061
- sources:
  - layer_range: [4, 8]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.892655547455918
      weight: 0.038732602391021484
  - layer_range: [4, 8]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 1.0
      weight: 0.1982145486303527
  - layer_range: [4, 8]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 1.0
      weight: 0.6843011350690802
- sources:
  - layer_range: [8, 12]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 0.7817511027396784
      weight: 0.13053333213489704
  - layer_range: [8, 12]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.6963703515864826
      weight: 0.20525481492667985
  - layer_range: [8, 12]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 0.6983086326765777
      weight: 0.5843953969574106
- sources:
  - layer_range: [12, 16]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 0.9632895768462915
      weight: 0.2101146706607748
  - layer_range: [12, 16]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.597557434542081
      weight: 0.6728172621848589
  - layer_range: [12, 16]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 0.756263557607837
      weight: 0.2581423726361908
- sources:
  - layer_range: [16, 20]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 1.0
      weight: 0.2116035543552448
  - layer_range: [16, 20]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 1.0
      weight: 0.22654226422958418
  - layer_range: [16, 20]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 0.8925914810507647
      weight: 0.42243766315440867
- sources:
  - layer_range: [20, 24]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 0.7697608089825734
      weight: 0.1535118632140203
  - layer_range: [20, 24]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.9886758076773643
      weight: 0.3305040603868546
  - layer_range: [20, 24]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 1.0
      weight: 0.40670083428654535
- sources:
  - layer_range: [24, 28]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 1.0
      weight: 0.4542810478500622
  - layer_range: [24, 28]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.8330662483310117
      weight: 0.2587495367324508
  - layer_range: [24, 28]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 0.9845313983551542
      weight: 0.40378452705975915
- sources:
  - layer_range: [28, 32]
    model: NousResearch/Hermes-2-Pro-Llama-3-8B
    parameters:
      density: 1.0
      weight: 0.2951962192288415
  - layer_range: [28, 32]
    model: cgato/L3-TheSpice-8b-v0.8.3
    parameters:
      density: 0.960315594933433
      weight: 0.13142971773782525
  - layer_range: [28, 32]
    model: openlynn/Llama-3-Soliloquy-8B-v2
    parameters:
      density: 1.0
      weight: 0.30838472094518804