---

base_model:

• Nohobby/L3.3-Prikol-70B-v0.5
• Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
• meta-llama/Llama-3.3-70B-Instruct
• NeverSleep/Lumimaid-v0.2-70B
• ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
• Sao10K/70B-L3.3-mhnnn-x1 library_name: transformers tags:
• mergekit
• merge license: llama3.3

---

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:

• Nohobby/L3.3-Prikol-70B-v0.5
• Doctor-Shotgun/L3.3-70B-Magnum-v4-SE
• NeverSleep/Lumimaid-v0.2-70B
• ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
• Sao10K/70B-L3.3-mhnnn-x1

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: NeverSleep/Lumimaid-v0.2-70B
    parameters:
      weight: 0.20
      density: 0.7
  - model: ArliAI/Llama-3.3-70B-ArliAI-RPMax-v1.4
    parameters:
      weight: 0.20
      density: 0.7
  - 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: Nohobby/L3.3-Prikol-70B-v0.5
    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