SOG_MMSLERP
Turn the temp down on this one. 0.1 to 0.6.
This is a multi-merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the MULTI-merge method.
Models Merged
The following models were included in the merge:
- schonsense/70B_SOG_unstructed
- nbeerbower/Llama3.1-Gutenberg-Doppel-70B
- flammenai/Llama3.1-Flammades-70B
- flammenai/Mahou-1.5-llama3.1-70B
- D:\mergekit\SOG_MSLERP_MULTI
- D:\mergekit_My_YAMLS\70B_mSlOG_un
Configuration
The following YAML configuration was used to produce this model:
name: flam
merge_method: multislerp
models:
- model: nbeerbower/Llama3.1-Gutenberg-Doppel-70B
- model: flammenai/Llama3.1-Flammades-70B
- model: flammenai/Mahou-1.5-llama3.1-70B
parameters:
weight: 1
---
name: SOG_MSLERP_MULTI
merge_method: della
models:
- model: flam
parameters:
density: 0.2
epsilon: 0.1
weight: 0.2
- model: "D:\\mergekit\\_My_YAMLS\\70B_mSlOG_un"
parameters:
density: 1
epsilon: 0
weight: 0.8
base_model: "D:\\mergekit\\_My_YAMLS\\70B_mSlOG_un"
parameters:
normalize: false
int8_mask: false
lambda: 1.0
---
models:
- model: "D:\\mergekit\\_My_YAMLS\\70B_mSlOG_un"
parameters:
weight: 1
- model: SOG_MSLERP_MULTI
parameters:
weight: 1
merge_method: nuslerp
tokenizer_source: "D:\\mergekit\\_My_YAMLS\\70B_mSlOG_un"
dtype: float32
out_dtype: bfloat16
- Downloads last month
- 2
Inference Providers
NEW
This model isn't deployed by any Inference Provider.
๐
Ask for provider support
Model tree for schonsense/70B_SOG_MMSLERPV2
Merge model
this model