rAIfle/ohno-8x7B-fp16

ohno-8x7b

this... will either be my magnum opus... or terrible. no inbetweens!

Post-test verdict: It's mostly braindamaged. Might be my settings or something, idk. the ./output mentioned below is my own merge using identical recipe as Envoid/Mixtral-Instruct-ITR-8x7B.

output_merge2

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

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using Envoid/Mixtral-Instruct-ITR-8x7B as a base.

Models Merged

The following models were included in the merge:

• ./output/ + /ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
• Envoid/Mixtral-Instruct-ITR-8x7B + Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
• Envoid/Mixtral-Instruct-ITR-8x7B + retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
• NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: ./output/+/ai/LLM/tmp/pefts/daybreak-peft/mixtral-8x7b
    parameters:
      density: 0.66
      weight: 1.0
  - model: Envoid/Mixtral-Instruct-ITR-8x7B+retrieval-bar/Mixtral-8x7B-v0.1_case-briefs
    parameters:
      density: 0.1
      weight: 0.25
  - model: Envoid/Mixtral-Instruct-ITR-8x7B+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
    parameters:
      density: 0.66
      weight: 0.5
  - model: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
    parameters:
      density: 0.15
      weight: 0.3
merge_method: dare_ties
base_model: Envoid/Mixtral-Instruct-ITR-8x7B
dtype: float16