merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using mistralai/Mistral-7B-Instruct-v0.2 as a base.
Models Merged
The following models were included in the merge:
- mlabonne/NeuralBeagle14-7B
- Nexusflow/Starling-LM-7B-beta
- CorticalStack/pastiche-crown-clown-7b-dare-dpo
Configuration
The following YAML configuration was used to produce this model:
base_model: mistralai/Mistral-7B-Instruct-v0.2
dtype: bfloat16
merge_method: dare_ties
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
- model: Nexusflow/Starling-LM-7B-beta
parameters:
density: '0.53'
weight: '0.4'
- model: mlabonne/NeuralBeagle14-7B
parameters:
density: '0.53'
weight: '0.3'
- model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
parameters:
density: '0.53'
weight: '0.3'
parameters:
int8_mask: true
- 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 jambroz/FNCARL-7b
Merge model
this model