Tarek's Recommendations
Collection
I have a lot of experimental merges, not all are up to par, but these most certainly are!
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4 items
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Updated
I messed around with the the ingredients in the Thalassic series, essentially testing how much of an effect the base and pivot models had on the merge. In my opinion, this is the best of the Thalassic models.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SCE merge method using SicariusSicariiStuff/Negative_LLAMA_70B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
# Pivot model
- model: deepseek-ai/DeepSeek-R1-Distill-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: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
select_topk: 1.0
dtype: bfloat16