Edit model card

Moko-Sample-7b-ex

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

Merge Details

Merge Method

This model was merged using the sample_ties merge method using mistralai/Mistral-7B-v0.1 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: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: WizardLM/WizardMath-7B-V1.1
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: sample_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: float16
Downloads last month
74
Safetensors
Model size
7.24B params
Tensor type
FP16
·
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 Azazelle/Mocha-Sample-7b-ex