base_model, library_name, tags, license
| base_model | library_name | tags | license | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
transformers |
|
apache-2.0 |
mixtral-ties
For experimental purposes. Probably not very good.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using mistralai/Mistral-7B-v0.1 as a base.
Models Merged
The following models were included in the merge:
- monology/mixtral-slerp0
- monology/mixtral-slerp5
- monology/mixtral-slerp6
- monology/mixtral-slerp2
- monology/mixtral-slerp3
- monology/mixtral-slerp7
- monology/mixtral-slerp4
- monology/mixtral-slerp1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: monology/mixtral-slerp0
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp1
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp2
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp3
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp4
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp5
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp6
parameters:
density: 0.5
weight: 0.1
- model: monology/mixtral-slerp7
parameters:
density: 0.5
weight: 0.1
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
normalize: true
dtype: float16