LaserPipe-7B-SLERP

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

I have provided a .gguf Q4_K_M for cpu inference as well.

This repository serves as a learning experience for myself to experiment with merged models & gguf conversions.

Credits:

• mergekit
• llama.cpp

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• OpenPipe/mistral-ft-optimized-1218
• macadeliccc/WestLake-7B-v2-laser-truthy-dpo

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: OpenPipe/mistral-ft-optimized-1218
        layer_range: [0, 32]
      - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
        layer_range: [0, 32]
merge_method: slerp
base_model: OpenPipe/mistral-ft-optimized-1218
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16