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Same reliable approach as before. A good RP model and a suitable dose of SimPO are a match made in heaven.

All quants made using imatrix option with dataset provided by bartowski here

SillyTavern

Text Completion presets

temp 0.9
top_k 30
top_p 0.75
min_p 0.2
rep_pen 1.1
smooth_factor 0.25
smooth_curve 1

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Context & Instruct Presets for Gemma Here IMPORTANT !

Instruct Mode: Enabled

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

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:

slices:
  - sources:
      - model: TheDrummer/Gemmasutra-9B-v1
        layer_range: [0, 42]
      - model: princeton-nlp/gemma-2-9b-it-SimPO
        layer_range: [0, 42]
merge_method: slerp
base_model: TheDrummer/Gemmasutra-9B-v1
parameters:
  t:
    - filter: self_attn
      value: [0.2, 0.4, 0.6, 0.2, 0.4]
    - filter: mlp
      value: [0.8, 0.6, 0.4, 0.8, 0.6]
    - value: 0.4
dtype: bfloat16

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GGUF
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gemma2

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