metadata

base_model:
  - Sao10K/L3.3-70B-Euryale-v2.3
  - Sao10K/70B-L3.3-mhnnn-x1
  - EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
  - Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
  - Sao10K/70B-L3.3-Cirrus-x1
  - meta-llama/Llama-3.3-70B-Instruct
library_name: transformers
tags:
  - mergekit
  - merge
license: llama3.3

Part of a multi merge experiment.

merge

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

Merge Details

Merge Method

This model was merged using the Linear DELLA merge method using meta-llama/Llama-3.3-70B-Instruct 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: Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/70B-L3.3-mhnnn-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/L3.3-70B-Euryale-v2.3
    parameters:
      weight: 0.20
      density: 0.7
merge_method: della_linear
base_model: meta-llama/Llama-3.3-70B-Instruct
parameters:
  epsilon: 0.2
  lambda: 1.1
out_dtype: bfloat16
tokenizer:
 source: Sao10K/L3.3-70B-Euryale-v2.3