metadata

base_model:
  - Virt-io/Llama-3-8B-Irene-v0.2
  - saishf/Kitty-Cat-SOVL-8B-L3-V1
  - saishf/SOVLish-Maid-L3-8B
library_name: transformers
pipeline_tag: text-generation
tags:
  - mergekit
  - merge
  - facebook
  - meta
  - pytorch
  - llama
  - llama-3
license: other
license_name: llama3
license_link: LICENSE

Llama-3-8B-Irene-v0.3

Same idea as previous merge, but with saishf's SOVL merge line.

Neko-Maid-SLERP is using the same config, using saishf/SOVLish-Maid-L3-8B and saishf/Kitty-Cat-SOVL-8B-L3-V1 as base.

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

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: Virt-io/Llama-3-8B-Irene-v0.2
        layer_range: [0, 32]
      - model: Mergekit/Neko-Maid-SLERP
        layer_range: [0, 32]
merge_method: slerp
base_model: Virt-io/Llama-3-8B-Irene-v0.2
parameters:
  t:
    - value: [0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.35, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55, 0.15, 0.55]
dtype: bfloat16