Darkhn/L3.3-70B-Middle-Base-V3

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/EVA-LLaMA-3.33-70B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• /media/administrator/oiseauxai1data/modelweights/L3.3-70B-Euryale-v2.3
• /media/administrator/oiseauxai1data/modelweights/Wanton-Wolf-70B
• /media/administrator/oiseauxai1data/modelweights/70B-L3.3-Cirrus-x1

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/L3.3-70B-Euryale-v2.3
  - model: /media/administrator/oiseauxai1data/modelweights/70B-L3.3-Cirrus-x1
  - model: /media/administrator/oiseauxai1data/modelweights/Wanton-Wolf-70B
  - model: /media/administrator/oiseauxai1data/modelweights/EVA-LLaMA-3.33-70B-v0.1
base_model: /media/administrator/oiseauxai1data/modelweights/EVA-LLaMA-3.33-70B-v0.1
model_name: Middle-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