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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# merged_model_output
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using /media/administrator/oiseauxai1data/modelweights/Fallen-Llama-3.3-R1-70B-v1/ as a base.
### Models Merged
The following models were included in the merge:
* /media/administrator/oiseauxai1data/modelweights/L3.3-70B-Magnum-Nexus
* /media/administrator/oiseauxai1data/modelweights/L3.3-70B-Euryale-v2.3
* /media/administrator/oiseauxai1data/modelweights/Forgotten-Abomination-70B-v5.0
* /media/administrator/oiseauxai1data/modelweights/Fallen-Llama-3.3-R1-70B-v1
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# --- Mergekit Example: model_stock ---
# Method: Averages "stock" models and combines with a base model.
models:
- model: /media/administrator/oiseauxai1data/modelweights/Forgotten-Abomination-70B-v5.0
- model: /media/administrator/oiseauxai1data/modelweights/L3.3-70B-Magnum-Nexus
- model: /media/administrator/oiseauxai1data/modelweights/L3.3-70B-Euryale-v2.3
- model: /media/administrator/oiseauxai1data/modelweights/Fallen-Llama-3.3-R1-70B-v1
base_model: /media/administrator/oiseauxai1data/modelweights/Fallen-Llama-3.3-R1-70B-v1/
model_name: Dark-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
```