After a lot of testing by myself and others the general consensus was that Progenitor 1.1 (della_linear) was better than 1.2 (SCE). I actually got some advice from Steelskull about how I had my top k parameter way too high. So I decided to lower it for this merge. Now because I feel 1.2 was still a decent model with the top k on 1, I halved the top k parameter to 0.50 which is basically the max recommended setting. From early testing, I am not sure...it's not blowing me away.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SCE merge method using nbeerbower/Llama-3.1-Nemotron-lorablated-70B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  # Pivot model
  - model: SicariusSicariiStuff/Negative_LLAMA_70B
  # Target models
  - model: Sao10K/70B-L3.3-Cirrus-x1
  - model: Sao10K/L3.1-70B-Hanami-x1
  - model: TheDrummer/Anubis-70B-v1
  - model: EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
merge_method: sce
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
  select_topk: 0.5
dtype: bfloat16
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