maid-yuzu-v8-alter-GGUF

Name: maid-yuzu-v8-alter-GGUF
Availability: InStock

Quantized from https://huggingface.co/rhplus0831/maid-yuzu-v8-alter.

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

v7's approach worked better than I thought, so I tried something even weirder as a test. I don't think a proper model will come out, but I'm curious about the results.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

This models were merged using the SLERP method in the following order:

maid-yuzu-v8-base: mistralai/Mixtral-8x7B-v0.1 + mistralai/Mixtral-8x7B-Instruct-v0.1 = 0.5
maid-yuzu-v8-step1: above + jondurbin/bagel-dpo-8x7b-v0.2 = 0.25
maid-yuzu-v8-step2: above + cognitivecomputations/dolphin-2.7-mixtral-8x7b = 0.25
maid-yuzu-v8-step3: above + NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss = 0.25
maid-yuzu-v8-step4-alter: above + ycros/BagelMIsteryTour-v2-8x7B = 0.5
maid-yuzu-v8-alter: above + smelborp/MixtralOrochi8x7B = 0.5

Models Merged

The following models were included in the merge:

smelborp/MixtralOrochi8x7B
../maid-yuzu-v8-step4-alter

Configuration

The following YAML configuration was used to produce this model:

yaml

base_model:
  model:
    path: ../maid-yuzu-v8-step4-alter
dtype: bfloat16
merge_method: slerp
parameters:
  t:
  - value: 0.5
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: ../maid-yuzu-v8-step4-alter
  - layer_range: [0, 32]
    model:
      model:
        path: smelborp/MixtralOrochi8x7B

andersonarc/maid-yuzu-v8-alter-GGUF

maid-yuzu-v8-alter-GGUF

Merge Details

Merge Method

Models Merged

Configuration

andersonarc/
maid-yuzu-v8-alter-GGUF