Another model with my new experimental base. This one has a slightly different list of ingredients. I substituted Cirrus out for Wayfarer. I have great success using a temp of 0.8 and a min P of 0.02.
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 TareksLab/UL3.3-Nemo-X80-BASE-70B as a base.
Models Merged
The following models were included in the merge:
- SicariusSicariiStuff/Negative_LLAMA_70B
- TheDrummer/Anubis-70B-v1
- Sao10K/L3.1-70B-Hanami-x1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- LatitudeGames/Wayfarer-Large-70B-Llama-3.3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3.1-70B-Hanami-x1
parameters:
weight: 0.20
density: 0.7
- model: LatitudeGames/Wayfarer-Large-70B-Llama-3.3
parameters:
weight: 0.20
density: 0.7
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.20
density: 0.7
- model: TheDrummer/Anubis-70B-v1
parameters:
weight: 0.20
density: 0.7
- model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 0.20
density: 0.7
merge_method: della_linear
base_model: TareksLab/UL3.3-Nemo-X80-BASE-70B
parameters:
epsilon: 0.2
lambda: 1.1
dtype: bfloat16
tokenizer:
source: TareksLab/UL3.3-Nemo-X80-BASE-70B
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