I was curious about using Euryale as the base for Progenitor for a while, this is the result.
Progenitor-V3.2-70B
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 D:/mergekit_models/L3.3-70B-Euryale-v2.3 as a base.
Models Merged
The following models were included in the merge:
- D:/mergekit_models/Negative_LLAMA_70B
- D:/mergekit_models/L3.1-70B-Hanami-x1
- D:/mergekit_models/EVA-LLaMA-3.33-70B-v0.1
- D:/mergekit_models//70B-L3.3-Cirrus-x1
- D:/mergekit_models/Anubis-70B-v1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: D:/mergekit_models/L3.1-70B-Hanami-x1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models//70B-L3.3-Cirrus-x1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/Negative_LLAMA_70B
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/Anubis-70B-v1
parameters:
weight: 0.20
density: 0.7
- model: D:/mergekit_models/EVA-LLaMA-3.33-70B-v0.1
parameters:
weight: 0.20
density: 0.7
merge_method: della_linear
base_model: D:/mergekit_models/L3.3-70B-Euryale-v2.3
parameters:
epsilon: 0.2
lambda: 1.1
dype: float32
out_dtype: bfloat16
tokenizer:
source: base
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