UnFimbulvetr-20B-V2
Waifu to catch your attention
This is a merge of pre-trained language models created using mergekit.
GGUF Tests
Seems usable. But I'm having difficulty telling if the stacked layers were beneficial. While I think there's something added, I really can't tell.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [0, 13]
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [8, 13]
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [12, 36]
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [12, 36]
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [20, 36]
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [36, 48]
merge_method: passthrough
dtype: bfloat16
- Downloads last month
- 406
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.