metadata

base_model:
  - mayflowergmbh/Wiedervereinigung-7b-dpo-laser
  - yam-peleg/Experiment26-7B
  - DiscoResearch/DiscoLM_German_7b_v1
  - macadeliccc/WestLake-7B-v2-laser-truthy-dpo
library_name: transformers
tags:
  - mergekit
  - merge
  - llama_factory
license: apache-2.0
language:
  - de
pipeline_tag: text-generation

obazda-7b

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

Benchmarks

This was expected to be better :-). Need to have a look why.

{
    "first_turn": 6.35,
    "second_turn": 6.45625,
    "categories": {
        "writing": 7.725,
        "roleplay": 7.875,
        "reasoning": 4,
        "math": 3.8,
        "coding": 4.05,
        "extraction": 7.0,
        "stem": 8.5,
        "humanities": 8.275
    },
    "average": 6.403124999999999
}

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using DiscoResearch/DiscoLM_German_7b_v1 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: DiscoResearch/DiscoLM_German_7b_v1
    # no parameters necessary for base model
  - model: yam-peleg/Experiment26-7B
    parameters:
      density: 0.60
      weight: 0.30
  - model: mayflowergmbh/Wiedervereinigung-7b-dpo-laser
    parameters:
      density: 0.65
      weight: 0.40
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      density: 0.6
      weight: 0.3
merge_method: dare_ties
base_model: DiscoResearch/DiscoLM_German_7b_v1
parameters:
  int8_mask: true
tokenizer_source: base

dtype: bfloat16
random_seed: 0