brucethemoose/CaPlatTessDolXaBoros-Yi-34B-200K-DARE-Ties

A low density DARE ties merge, for benchmarking on the open llm leaderboard.

You probably shouldn't use this model. Use this higher density merge instead, which is scoring much better on the llm leaderboard and perplexity tests: https://huggingface.co/brucethemoose/CaPlatTessDolXaBoros-Yi-34B-200K-DARE-Ties-HighDensity

mergekit config:

models:
  - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
    # no parameters necessary for base model
  - model: /home/alpha/Storage/Models/Raw/migtissera_Tess-34B-v1.4
    parameters:
      weight: 0.19
      density: 0.44
  - model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
    parameters:
      weight: 0.14
      density: 0.34
  - model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
    parameters:
      weight: 0.19
      density: 0.44
  - model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200K-Q
    parameters:
      weight: 0.14
      density: 0.34
  - model: /home/alpha/FastModels/ehartford_dolphin-2.2-yi-34b-200k
    parameters:
      weight: 0.19
      density: 0.44
  - model: /home/alpha/FastModels/fblgit_una-xaberius-34b-v1beta
    parameters:
      weight: 0.15
      density: 0.08
merge_method: dare_ties
base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
parameters:

int8_mask: true
dtype: bfloat16