---

base_model:

• SicariusSicariiStuff/Negative_LLAMA_70B
• TheDrummer/Anubis-70B-v1
• meta-llama/Llama-3.3-70B-Instruct
• Sao10K/70B-L3.3-Cirrus-x1
• Sao10K/L3.1-70B-Hanami-x1
• EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1 library_name: transformers tags:
• mergekit
• merge license: llama3.3

---

Had to make another test model after getting a recommendation to try the 3.3 Llama instruct model as the base, and here it is. I am really having fun with this one. I think it beats 1.1 and 2.2.

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:

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

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: meta-llama/Llama-3.3-70B-Instruct
parameters:
  epsilon: 0.2
  lambda: 1.1
dype: float32
out_dtype: bfloat16
tokenizer:
 source: union

Support on KO-FI <3