Refer to the original models for best usage.
Mergekit Recipe
# Mistral Merging
merge_method: linear
dtype: float16
models:
- model: KoboldAI/Mistral-7B-Holodeck-1
parameters:
weight: 0.45
- model: KoboldAI/Mistral-7B-Erebus-v3
parameters:
weight: 0.45
- model: senseable/WestLake-7B-v2
parameters:
weight: 0.025
- model: fblgit/UNA-TheBeagle-7b-v1
parameters:
weight: 0.025
- model: SanjiWatsuki/Kunoichi-DPO-v2-7B
parameters:
weight: 0.025
- model: SanjiWatsuki/Silicon-Maid-7B
parameters:
weight: 0.025
name: MV01-WestHolobuSiliKunoichiBeagle-7B
---
# Mistral Stacking
merge_method: passthrough
dtype: float16
slices:
- sources:
- model: MV01-WestHolobuSiliKunoichiBeagle-7B
layer_range: [0, 24]
- sources:
- model: MV01-WestHolobuSiliKunoichiBeagle-7B
layer_range: [8, 32]
name: MV01-Stacked-WestHolobuSiliKunoichiBeagle-Unhealed-10.7B
---
# Mistral Stack Healing
merge_method: task_arithmetic
dtype: float16
base_model: Undi95/Mistral-11B-v0.1
models:
- model: Sao10K/Fimbulvetr-11B-v2
parameters:
weight: 1.0
- model: MV01-Stacked-WestHolobuSiliKunoichiBeagle-Unhealed-10.7B
parameters:
weight: 1.0
name: FimbulWestHolobuSiliKunoichiBeagle-UnfixedConfig-10.7B
---
# Healed Stack Config Fixing
merge_method: task_arithmetic
dtype: float16
base_model: Sao10K/Fimbulvetr-11B-v2
models:
- model: FimbulWestHolobuSiliKunoichiBeagle-UnfixedConfig-10.7B
parameters:
weight: 1.0
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