Instructions to use Edens-Gate/Edens-Gate_Kyne-R2-22b-exl2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edens-Gate/Edens-Gate_Kyne-R2-22b-exl2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Edens-Gate/Edens-Gate_Kyne-R2-22b-exl2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
metadata
base_model:
- TheDrummer/UnslopSmall-22B-v1
- NewEden-Staging/Kyne-22b
- nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
library_name: transformers
tags:
- mergekit
- merge
exl2 quant (measurement.json in main branch)
check revisions for quants
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using NewEden-Staging/Kyne-22b 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: TheDrummer/UnslopSmall-22B-v1
parameters:
density: 0.7
weight: 0.7
- model: nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
parameters:
density: 0.3
weight: 0.3
merge_method: task_arithmetic
base_model: NewEden-Staging/Kyne-22b
parameters:
normalize: false
int8_mask: true
dtype: bfloat16