Merged

This is a merge of pre-trained language models created using mergekit, but using my experimental branch swapping

The "Other" branch is where I did something wrong, so in the "main" I did it right(I hope 😅).

Merge Details

Merge Method

This model was merged using the task_swapping merge method not sure if I did it right and how the model was impacted, using NousResearch/Yarn-Mistral-7b-128k as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model:
  model:
    path: NousResearch/Yarn-Mistral-7b-128k
dtype: bfloat16
merge_method: task_swapping
slices:
- sources:
  - layer_range: [0, 32]
    model:
      model:
        path: senseable/WestLake-7B-v2
    parameters:
      weight: 0.666
      diagonal_offset: 2
      invert_offset: True
  - layer_range: [0, 32]
    model:
      model:
        path: NousResearch/Yarn-Mistral-7b-128k
Downloads last month
528
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 Aryanne/YarnLake-Swap-7B

Collections including Aryanne/YarnLake-Swap-7B