xiaorui638/mistral_merged6_ties

merged_models_6

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

Merge Details

Merge Method

This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• nvidia/OpenMath-Mistral-7B-v0.1-hf
• teknium/OpenHermes-2.5-Mistral-7B
• teknium/CollectiveCognition-v1.1-Mistral-7B
• HuggingFaceH4/zephyr-7b-beta
• mlabonne/NeuralHermes-2.5-Mistral-7B
• OpenPipe/mistral-ft-optimized-1218

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mistralai/Mistral-7B-v0.1
    # no parameters necessary for base model
  - model: OpenPipe/mistral-ft-optimized-1218
    parameters:
      density: 0.5
      weight: 0.4
  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.3
  - model: HuggingFaceH4/zephyr-7b-beta
    parameters:
      density: 0.5
      weight: 0.3
  - model: nvidia/OpenMath-Mistral-7B-v0.1-hf
    parameters:
      density: 0.5
      weight: 0.2
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: teknium/CollectiveCognition-v1.1-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  normalize: true
dtype: float16