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metadata
base_model: []
library_name: transformers
tags:
  - mergekit
  - merge

merged_model_output

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using /media/administrator/oiseauxai1data/modelweights/70B-L3.3-Cirrus-x1 as a base.

Models Merged

The following models were included in the merge:

  • /media/administrator/oiseauxai1data/modelweights/Llama-3.3-70B-Vulpecula-r1
  • /media/administrator/oiseauxai1data/modelweights/Llama-3.3-70B-ArliAI-RPMax-v1.4
  • /media/administrator/oiseauxai1data/modelweights/Wayfarer-Large-70B-Llama-3.3

Configuration

The following YAML configuration was used to produce this model:

# --- Mergekit Example: model_stock ---
# Method: Averages "stock" models and combines with a base model.

models:
  - model: /media/administrator/oiseauxai1data/modelweights/Llama-3.3-70B-ArliAI-RPMax-v1.4
  - model: /media/administrator/oiseauxai1data/modelweights/Llama-3.3-70B-Vulpecula-r1
  - model: /media/administrator/oiseauxai1data/modelweights/Wayfarer-Large-70B-Llama-3.3
  - model: /media/administrator/oiseauxai1data/modelweights/70B-L3.3-Cirrus-x1
base_model: /media/administrator/oiseauxai1data/modelweights/70B-L3.3-Cirrus-x1
model_name: Story-Base-V3              # Name of your merge
dtype: float32                          # Input size float32, float16, bfloat16
out_dtype: bfloat16                     # output size float32, float16, bfloat16
merge_method: model_stock
parameters:
  filter_wise: false                    # Default
tokenizer_source: base                  # Or 'base' if base_model is set, or 'union', careful with this one
chat_template: llama3                   # Template for chat (Chatml, llama3, etc...)
license: apache-2.0                     # License type