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AbominationScience-12B-v4

When the choice is not random.

AbominationScienceLogo256.png

This is an interesting merge of 11 cool models, created using mergekit. Enjoy exploring :)

Merge Details

Method

This model was merged using the multistep process and remerge with some model variations for best result.

Models

The following models were included in the merge:

Configuration

The following YAML configurations was used to produce this model:

# AbominationScience
# It's a good model, I used it as a base for this merge.
models:
  - model: Trappu/Abomination-merge-attempt-12B
  - model: benhaotang/nemo-math-science-philosophy-12B
merge_method: slerp
base_model: Trappu/Abomination-merge-attempt-12B
dtype: bfloat16
parameters:
  t: [0.8, 0.2, 0.8, 0.2, 0.8, 0.2, 0.8]

# SCUMCL
models:
  - model: VongolaChouko/Starcannon-Unleashed-12B-v1.0
  - model: FallenMerick/MN-Chunky-Lotus-12B
merge_method: slerp
base_model: VongolaChouko/Starcannon-Unleashed-12B-v1.0
dtype: bfloat16
parameters:
  t: [0.7, 0.3, 0.7, 0.3, 0.7, 0.3, 0.7]

# SISMMU
models:
  - model: Nohobby/MN-12B-Siskin-v0.2
  - model: ThijsL202/MadMix-Unleashed-12B
merge_method: slerp
base_model: Nohobby/MN-12B-Siskin-v0.2
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0]

# PLECAD
models:
  - model: GalrionSoftworks/Pleiades-12B-v1
  - model: GalrionSoftworks/Canidori-12B-v1
merge_method: slerp
base_model: GalrionSoftworks/Pleiades-12B-v1
dtype: bfloat16
parameters:
  t: [0.7, 0.3, 0.7, 0.3, 0.7, 0.3, 0.7]

# Positive-12B-v1 and Negative-12B-v1 are the basis of diversity for the base model.
# I've lost the exact config, but it was most likely a slerp like the one in SCUMCL/SISMMU/PLECAD.
# Positive-12B-v1 = SCUMCL + SISMMU.
# Negative-12B-v1 = PLECAD + AbominationScience.

# AbominationScience-12B-v2
models:
  - model: F:/Positive-12B-v1
    parameters:
      density: [0.5, 0.4, 0.6, 0.3, 0.7, 0.2, 0.8, 0.1, 0.9,  0.1, 0.9, 0.1, 0.9,  0.1, 0.9, 0.2, 0.8, 0.3, 0.7, 0.4, 0.6, 0.5]
      weight:  [0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.9, 0.1,  0.9, 0.1, 0.9, 0.1,  0.9, 0.1, 0.8, 0.2, 0.7, 0.3, 0.6, 0.4, 0.5]
  - model: F:/Negative-12B-v1
    parameters:
      density: [0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.9, 0.1,  0.9, 0.1, 0.9, 0.1,  0.9, 0.1, 0.8, 0.2, 0.7, 0.3, 0.6, 0.4, 0.5]
      weight:  [0.5, 0.4, 0.6, 0.3, 0.7, 0.2, 0.8, 0.1, 0.9,  0.1, 0.9, 0.1, 0.9,  0.1, 0.9, 0.2, 0.8, 0.3, 0.7, 0.4, 0.6, 0.5]
merge_method: dare_ties
base_model: F:/AbominationScience
dtype: bfloat16

# AbominationScience-12B-v3
# Della merge with a good base to form an interesting core
models:
  - model: F:/AbominationScience
    parameters:
      weight:  [0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.8, 0.2, 0.7, 0.3, 0.6, 0.4, 0.5]
      density: [0.5, 0.4, 0.6, 0.3, 0.7, 0.2, 0.8, 0.2, 0.8, 0.3, 0.7, 0.4, 0.6, 0.5]
merge_method: della
parameters:
  epsilon: 0.123456789
  lambda:  0.987654321
base_model: F:/AbominationScience-12B-v2
dtype: bfloat16

# AbominationScience-12B-v4
# Final shift the model to three very good bases.
models:
  - model: inflatebot/MN-12B-Mag-Mell-R1
  - model: FallenMerick/MN-Violet-Lotus-12B
  - model: Azazelle/MN-Halide-12b-v1.0
merge_method: model_stock
base_model: F:/AbominationScience-12B-v3
dtype: bfloat16

My thanks to the authors of the original models, your work is incredible. Have a good time 🖤

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