Calliope-7b

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

Merge Details

Merge Method

This model was merged using the rescaled_sample 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: Nexusflow/Starling-LM-7B-beta
    parameters:
      weight: 0.5
      density: 0.5
  - model: Eric111/openchat-3.5-0106-128k-DPO_dpo-binarized-NeuralTrix-7B
    parameters:
      weight: 0.3
      density: 0.3
  - model: paulml/OmniBeagleSquaredMBX-v3-7B
    parameters:
      weight: 0.2
      density: 0.2
  - model: chargoddard/servile-harpsichord-cdpo
    parameters:
      weight: 0.3
      density: 0.3
merge_method: rescaled_sample
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16
Downloads last month
15
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 Azazelle/Calliope-7b