Virt-io/Deris-SSS-7B

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Tips

SillyTavern presets in presets folder. (Thanks to Lewdiculous for ideas.)

Model has formatting issues when using asterisks. Recommended to use novel like formatting (only use quotes)

System prompt can be improved, help welcomed.

Model seems to take characters too seriously, if you find it too stubborn regenerate reply or edit it. It should comply after.(Seems to be fixed now, appears to have been a bad system prompt. oops)

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Models Used

ChaoticNeutrals/Eris_Floramix_DPO_7B

ResplendentAI/Datura_7B

FuseAI/FuseChat-7B-VaRM

Weyaxi/Einstein-v4-7B

ogno-monarch-jaskier-merge-7b-OH-PREF-DPO

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Deris-SSS

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:

• Deris-v2
• SmartyPants-step2

Configuration

The following YAML configuration was used to produce this model:

Deris-SSS

Final merge combine the smart models with the unhinged ones

slices:
  - sources:
      - model: ./Mergekit/Deris-v2
        layer_range: [0, 32]
      - model: ./Mergekit/SmartyPants-step2
        layer_range: [0, 32]
merge_method: slerp
base_model: ./Mergekit/Deris-v2
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: float16

Deris-v2

Combine a bit of Datura_7B into Eris_Floramix_DPO_7B

Reason Datura is extremely unhinged :) more so than Eris

slices:
  - sources:
      - model: ChaoticNeutrals/Eris_Floramix_DPO_7B
        layer_range: [0, 32]
      - model: ResplendentAI/Datura_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: ChaoticNeutrals/Eris_Floramix_DPO_7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.20, 0.15, 0.25, 0.35]
    - filter: mlp
      value: [0.35, 0.20, 0.25, 0.15, 0]
    - value: 0.20
dtype: float16

SmartyPants-step1

Combine OMJ into Einstein Reason Einstein looks interesting and OMJ was a high ranking model

slices:
  - sources:
      - model: Weyaxi/Einstein-v4-7B
        layer_range: [0, 32]
      - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: Weyaxi/Einstein-v4-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.45, 0.3, 0.55, 0.65]
    - filter: mlp
      value: [0.65, 0.45, 0.55, 0.3, 0]
    - value: 0.45
dtype: float16

SmartyPants-step2

Combine Smarty pants into FuseChat-VaRM Reason IDK I just like FuseChat-VaRM

slices:
  - sources:
      - model: FuseAI/FuseChat-7B-VaRM
        layer_range: [0, 32]
      - model: ./Mergekit/SmartyPants-step1
        layer_range: [0, 32]
merge_method: slerp
base_model: FuseAI/FuseChat-7B-VaRM
parameters:
  t:
    - filter: self_attn
      value: [0, 0.45, 0.3, 0.55, 0.65]
    - filter: mlp
      value: [0.65, 0.45, 0.55, 0.3, 0]
    - value: 0.45
dtype: float16