.ipynb_checkpoints/README-checkpoint.md

metadata

base_model:
  - Steelskull/L3-MS-Astoria-70b
  - Sao10K/L3-70B-Euryale-v2.1
library_name: transformers
tags:
  - mergekit
  - merge

Eurstoria-120B

A Llama-3 Decoder only model by combining 2x finetuned Llama-3 70B models into 1.

Merge Details

Merge Method

This model was merged using the passthrough merge method.

Models Merged

The following models were included in the merge:

• Steelskull/L3-MS-Astoria-70b
• Sao10K/L3-70B-Euryale-v2.1

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [0, 16]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [8, 24]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [25, 40]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [33, 48]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [41, 56]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [49, 64]
  - sources:
    - model: Steelskull/L3-MS-Astoria-70b
      layer_range: [57, 72]
  - sources:
    - model: Sao10K/L3-70B-Euryale-v2.1
      layer_range: [65, 80]

merge_method: passthrough
dtype: float16

Prompting Format

As both models are based off from instruct, Use the default Llama 3 Instruct format would be fine.

Screenshots

None. Unfortunately or Fortunately.

Benchmarks

No one is willing to bench a 120B... right?

Acknowledgements

The original ratios come from Goliath and are used as is. As such thanks to both Alpindale and @Undi95 for their inital work.

Credits goes to @chargoddard for developing the framework used to merge the model - mergekit.