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RichardErkhov/
mergekit-community_-_mergekit-slerp-hayztti-gguf

Name: mergekit-community_-_mergekit-slerp-hayztti-gguf
Availability: InStock

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mergekit-slerp-hayztti - GGUF

Model creator: https://huggingface.co/mergekit-community/
Original model: https://huggingface.co/mergekit-community/mergekit-slerp-hayztti/

Name	Quant method	Size
mergekit-slerp-hayztti.Q2_K.gguf	Q2_K	2.96GB
mergekit-slerp-hayztti.IQ3_XS.gguf	IQ3_XS	0.41GB
mergekit-slerp-hayztti.IQ3_S.gguf	IQ3_S	3.43GB
mergekit-slerp-hayztti.Q3_K_S.gguf	Q3_K_S	3.41GB
mergekit-slerp-hayztti.IQ3_M.gguf	IQ3_M	3.52GB
mergekit-slerp-hayztti.Q3_K.gguf	Q3_K	3.74GB
mergekit-slerp-hayztti.Q3_K_M.gguf	Q3_K_M	3.74GB
mergekit-slerp-hayztti.Q3_K_L.gguf	Q3_K_L	4.03GB
mergekit-slerp-hayztti.IQ4_XS.gguf	IQ4_XS	4.18GB
mergekit-slerp-hayztti.Q4_0.gguf	Q4_0	4.34GB
mergekit-slerp-hayztti.IQ4_NL.gguf	IQ4_NL	4.38GB
mergekit-slerp-hayztti.Q4_K_S.gguf	Q4_K_S	4.37GB
mergekit-slerp-hayztti.Q4_K.gguf	Q4_K	4.58GB
mergekit-slerp-hayztti.Q4_K_M.gguf	Q4_K_M	4.58GB
mergekit-slerp-hayztti.Q4_1.gguf	Q4_1	4.78GB
mergekit-slerp-hayztti.Q5_0.gguf	Q5_0	5.21GB
mergekit-slerp-hayztti.Q5_K_S.gguf	Q5_K_S	5.21GB
mergekit-slerp-hayztti.Q5_K.gguf	Q5_K	5.34GB
mergekit-slerp-hayztti.Q5_K_M.gguf	Q5_K_M	5.34GB
mergekit-slerp-hayztti.Q5_1.gguf	Q5_1	5.65GB
mergekit-slerp-hayztti.Q6_K.gguf	Q6_K	6.14GB
mergekit-slerp-hayztti.Q8_0.gguf	Q8_0	7.95GB

Original model description:

base_model:

ZeroXClem/Astral-Fusion-Neural-Happy-L3.1-8B
DavidAU/L3.1-RP-Hero-Dirty_Harry-8B library_name: transformers tags:
mergekit
merge

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: DavidAU/L3.1-RP-Hero-Dirty_Harry-8B
        layer_range: [0, 32]
      - model: ZeroXClem/Astral-Fusion-Neural-Happy-L3.1-8B
        layer_range: [0, 32]
merge_method: slerp
base_model: ZeroXClem/Astral-Fusion-Neural-Happy-L3.1-8B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

RichardErkhov/mergekit-community_-_mergekit-slerp-hayztti-gguf