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

Just a test of a very high density DARE ties merge, for benchmarking on the open llm leaderboard.

You probably shouldn't use this model, use this one instead: 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: 0.83
  - model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
    parameters:
      weight: 0.14
      density: 0.6
  - model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
    parameters:
      weight: 0.19
      density: 0.83
  - model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200K-Q
    parameters:
      weight: 0.14
      density: 0.6
  - model: /home/alpha/FastModels/ehartford_dolphin-2.2-yi-34b-200k
    parameters:
      weight: 0.19
      density: 0.83
  - 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

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.57
AI2 Reasoning Challenge (25-Shot)	66.89
HellaSwag (10-Shot)	85.69
MMLU (5-Shot)	77.35
TruthfulQA (0-shot)	57.63
Winogrande (5-shot)	82.00
GSM8k (5-shot)	59.82