Edit model card

brezn6

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 cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser 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: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
    # no parameters necessary for base model
  - model: automerger/YamStrangemerges_32-7B
    parameters:
      density: 0.50
      weight: 0.30
  - model: mayflowergmbh/Wiedervereinigung-7b-dpo-laser
    parameters:
      density: 0.65
      weight: 0.40
  - model: DiscoResearch/DiscoLM_German_7b_v1
    parameters:
      density: 0.5
      weight: 0.3
merge_method: dare_ties
base_model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
parameters:
  int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: base
Downloads last month
4
Safetensors
Model size
7.24B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for johannhartmann/Brezn6-WIP