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RichardErkhov/
CorticalStack_-_neurotic-crown-clown-7b-ties-gguf

Name: CorticalStack_-_neurotic-crown-clown-7b-ties-gguf
Availability: InStock

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Quantization made by Richard Erkhov.

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neurotic-crown-clown-7b-ties - GGUF

Model creator: https://huggingface.co/CorticalStack/
Original model: https://huggingface.co/CorticalStack/neurotic-crown-clown-7b-ties/

Name	Quant method	Size
neurotic-crown-clown-7b-ties.Q2_K.gguf	Q2_K	2.53GB
neurotic-crown-clown-7b-ties.IQ3_XS.gguf	IQ3_XS	2.81GB
neurotic-crown-clown-7b-ties.IQ3_S.gguf	IQ3_S	2.96GB
neurotic-crown-clown-7b-ties.Q3_K_S.gguf	Q3_K_S	2.95GB
neurotic-crown-clown-7b-ties.IQ3_M.gguf	IQ3_M	3.06GB
neurotic-crown-clown-7b-ties.Q3_K.gguf	Q3_K	3.28GB
neurotic-crown-clown-7b-ties.Q3_K_M.gguf	Q3_K_M	3.28GB
neurotic-crown-clown-7b-ties.Q3_K_L.gguf	Q3_K_L	3.56GB
neurotic-crown-clown-7b-ties.IQ4_XS.gguf	IQ4_XS	3.67GB
neurotic-crown-clown-7b-ties.Q4_0.gguf	Q4_0	3.83GB
neurotic-crown-clown-7b-ties.IQ4_NL.gguf	IQ4_NL	3.87GB
neurotic-crown-clown-7b-ties.Q4_K_S.gguf	Q4_K_S	3.86GB
neurotic-crown-clown-7b-ties.Q4_K.gguf	Q4_K	4.07GB
neurotic-crown-clown-7b-ties.Q4_K_M.gguf	Q4_K_M	4.07GB
neurotic-crown-clown-7b-ties.Q4_1.gguf	Q4_1	4.24GB
neurotic-crown-clown-7b-ties.Q5_0.gguf	Q5_0	4.65GB
neurotic-crown-clown-7b-ties.Q5_K_S.gguf	Q5_K_S	4.65GB
neurotic-crown-clown-7b-ties.Q5_K.gguf	Q5_K	4.78GB
neurotic-crown-clown-7b-ties.Q5_K_M.gguf	Q5_K_M	4.78GB
neurotic-crown-clown-7b-ties.Q5_1.gguf	Q5_1	5.07GB
neurotic-crown-clown-7b-ties.Q6_K.gguf	Q6_K	5.53GB
neurotic-crown-clown-7b-ties.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

merge
mergekit
mlabonne/AlphaMonarch-7B
mlabonne/NeuralMonarch-7B
bardsai/jaskier-7b-dpo-v5.6

neurotic-crown-clown-7B-ties

neurotic-crown-clown-7B-ties is a TRIM, ELECT SIGN & MERGE (TIES) merge of the following models using mergekit:

See the paper TIES-Merging: Resolving Interference When Merging Models for more on the method.

🧩 Configuration

yaml

models:
  - model: mlabonne/NeuralMonarch-7B
    # no parameters necessary for base model
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: bardsai/jaskier-7b-dpo-v5.6
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mlabonne/NeuralMonarch-7B
parameters:
  normalize: true
dtype: float16

RichardErkhov/CorticalStack_-_neurotic-crown-clown-7b-ties-gguf

Original model description:

neurotic-crown-clown-7B-ties

🧩 Configuration

RichardErkhov/
CorticalStack_-_neurotic-crown-clown-7b-ties-gguf