---

base_model:

• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
• Sao10K/L3.1-70B-Hanami-x1
• Sao10K/70B-L3.3-Cirrus-x1
• TheDrummer/Anubis-70B-v1
• nbeerbower/Llama-3.1-Nemotron-lorablated-70B
• SicariusSicariiStuff/Negative_LLAMA_70B library_name: transformers tags:
• mergekit
• merge license: llama3.3

---

This model is part of a series of experiments in merging some of my favorite Llama models, an idea which was based on the excellent Steelskull/L3.3-MS-Nevoria-70b merge, just with a couple of extra ingredients and different merge methods. Here I tried a Della Linear merge with aggressive parameters. The results came out really nice, I really enjoy this model.

merge

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

Merge Details

Merge Method

This model was merged using the della_linear merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.

Models Merged

The following models were included in the merge:

• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
• Sao10K/L3.1-70B-Hanami-x1
• Sao10K/70B-L3.3-Cirrus-x1
• TheDrummer/Anubis-70B-v1
• SicariusSicariiStuff/Negative_LLAMA_70B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Sao10K/L3.1-70B-Hanami-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: Sao10K/70B-L3.3-Cirrus-x1
    parameters:
      weight: 0.20
      density: 0.7
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
    parameters:
      weight: 0.20
      density: 0.7
  - model: TheDrummer/Anubis-70B-v1
    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
merge_method: della_linear
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
  epsilon: 0.2
  lambda: 1.1
dtype: bfloat16
tokenizer_source: base

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