metadata

base_model:
  - Tarek07/Progenitor-V1.1-LLaMa-70B
  - Steelskull/L3.3-MS-Nevoria-70b
  - Nohobby/L3.3-Prikol-70B-v0.3
  - Tarek07/Progenitor-V1.2-LLaMa-70B
  - sophosympatheia/Nova-Tempus-70B-v0.1
  - nbeerbower/Llama-3.1-Nemotron-lorablated-70B
library_name: transformers
tags:
  - mergekit
  - merge
license: llama3.3

A merge of a merge of a merge. I gathered some awesome models which were merges many of the same models just in different ways and merged them together as an experiment. Came out solid, I think.

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: Steelskull/L3.3-MS-Nevoria-70b
  # Target models
  - model: Nohobby/L3.3-Prikol-70B-v0.3
  - model: Tarek07/Progenitor-V1.2-LLaMa-70B
  - model: Tarek07/Progenitor-V1.1-LLaMa-70B
  - model: sophosympatheia/Nova-Tempus-70B-v0.1
merge_method: sce
base_model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
  select_topk: 1.0
dtype: bfloat16