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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# merge
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 [DELLA](https://arxiv.org/abs/2406.11617) merge method using /media/administrator/oiseauxai1data1/modelout/Smart-base-v2 as a base.
### Models Merged
The following models were included in the merge:
* /media/administrator/oiseauxai1data1/modelout/Dark-Base-V1
* /media/administrator/oiseauxai1data1/modelout/Middle-Base-V1
* /media/administrator/oiseauxai1data/modelout/Story-Base-V2
### Configuration
The following YAML configuration was used to produce this model:
```yaml
#--- Mergekit Example: della_linear ---
# Method: Implements the DELLA concept (Deep Ensembling with Layer-wise Linear Averaging).
# This typically involves a sophisticated layer-wise linear combination of models.
base_model: /media/administrator/oiseauxai1data1/modelout/Smart-base-v2
models:
- model: /media/administrator/oiseauxai1data1/modelout/Dark-Base-V1
parameters:
weight: 0.6
density: 0.95
epsilon: 0.018 # <-- Epsilon for this model
- model: /media/administrator/oiseauxai1data/modelout/Story-Base-V2
parameters:
weight: 0.3
density: 0.80
epsilon: 0.018 # <-- Epsilon for this model
- model: /media/administrator/oiseauxai1data1/modelout/Middle-Base-V1
parameters:
weight: 0.3
density: 0.80
epsilon: 0.018 # <-- Epsilon for this model
model_name: L3.3-70b-Amalgamma-V2 # Name of your merge
dtype: float32 # Input size float32, float16, bfloat16
out_dtype: bfloat16 # output size float32, float16, bfloat16
merge_method: della
parameters: # These are global parameters for the merge_method itself
normalize: false
# epsilon: 0.018 # REMOVE global epsilon from here
lambda: 1.20
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
```
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