Occiglot quants WIP
Collection
This is just a working version, you'll find the official version at occiglot.
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36 items
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Updated
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4
This is a merge of pre-trained language models created using mergekit.
This model was merged using the task arithmetic merge method using mistralai/Mistral-7B-v0.1 as a base.
The following models were included in the merge:
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: task_arithmetic
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