occimerge
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-v0.1 as a base.
Models Merged
The following models were included in the merge:
- occiglot/occiglot-7b-es-en-instruct
- occiglot/occiglot-7b-de-en-instruct
- occiglot/occiglot-7b-it-en-instruct
- occiglot/occiglot-7b-fr-en-instruct
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: occiglot/occiglot-7b-de-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-it-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-fr-en-instruct
parameters:
density: 0.6
weight: 0.25
- model: occiglot/occiglot-7b-es-en-instruct
parameters:
density: 0.6
weight: 0.25
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16
random_seed: 0
tokenizer_source: model:occiglot/occiglot-7b-de-en-instruct
- Downloads last month
- 3
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.