TareksLab/DMHC-A

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 VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct as a base.

Models Merged

The following models were included in the merge:

• Sao10K/L3.3-70B-Euryale-v2.3

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3.3-70B-Euryale-v2.3
    parameters:
      weight: 0.5
      density: 0.7
      epsilon: 0.2
      lambda: 1.1
  - model: VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
    parameters:
      weight: 0.5
      density: 0.7
      epsilon: 0.1
      lambda: 1
base_model: VAGOsolutions/Llama-3.1-SauerkrautLM-70b-Instruct
merge_method: della_linear
parameters:
  normalize: false
  int8_mask: true
chat_template: llama3
tokenizer:
  source: union
dtype: float32
out_dtype: bfloat16