This one didn't come out right, I feel it's inferior to it's predecessor. But that is only from early testing.
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear DELLA merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.
Models Merged
The following models were included in the merge:
- Steelskull/L3.3-MS-Nevoria-70b
- Nohobby/L3.3-Prikol-70B-v0.3
- Tarek07/Progenitor-V1.1-LLaMa-70B
- sophosympatheia/Nova-Tempus-70B-v0.1
- Tarek07/Progenitor-V1.2-LLaMa-70B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Steelskull/L3.3-MS-Nevoria-70b
parameters:
weight: 0.20
density: 0.7
- model: Nohobby/L3.3-Prikol-70B-v0.3
parameters:
weight: 0.20
density: 0.7
- model: Tarek07/Progenitor-V1.2-LLaMa-70B
parameters:
weight: 0.20
density: 0.7
- model: Tarek07/Progenitor-V1.1-LLaMa-70B
parameters:
weight: 0.20
density: 0.7
- model: sophosympatheia/Nova-Tempus-70B-v0.1
parameters:
weight: 0.20
density: 0.7
merge_method: della_linear
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
epsilon: 0.2
lambda: 1.1
dtype: bfloat16
tokenizer_source: base
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