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:
- TheDrummer/Anubis-70B-v1
- SicariusSicariiStuff/Negative_LLAMA_70B
- Sao10K/L3.1-70B-Hanami-x1
- EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1
- Sao10K/70B-L3.3-Cirrus-x1
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
- Downloads last month
- 0