merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear DARE merge method using Jebadiah/Tess-gradient-ruby-p1 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:
- model: Jebadiah/Tess-gradient-ruby-p1
# No parameters necessary for base model
- model: NousResearch/Hermes-2-Theta-Llama-3-8B
parameters:
density: 0.5
weight: 0.5
merge_method: dare_linear
base_model: Jebadiah/Tess-gradient-ruby-p1
parameters:
int8_mask: true
dtype: bfloat16
- Downloads last month
- 4
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for Jebadiah/Tess-gradient-ruby-p2
Merge model
this model