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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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GGUF
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10.7B params
Architecture
llama

4-bit

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