Magnolia-v2-12B
This is a merge of pre-trained language models created using mergekit.
This model essentially a rebuild of v1, using task arithmetic instead of SLERP. Of note, Mistral Nemo Base was used as the base model for task arithmetic, rather than Instruct or another fine-tune. Furthermore, max_position_embeddings was reduced to 131072, down from 1000000, as the model was only trained on up to 131072. Tested with temperature 1.0 and minP 0.01; temperature can be reduced (briefly tested at 0.45) if the model is too aggressively creative/hallucinatory.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using grimjim/mistralai-Mistral-Nemo-Base-2407 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: grimjim/mistralai-Mistral-Nemo-Base-2407
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: false
slices:
- sources:
- layer_range: [0, 40]
model: grimjim/mistralai-Mistral-Nemo-Base-2407
- layer_range: [0, 40]
model: grimjim/mistralai-Mistral-Nemo-Instruct-2407
parameters:
weight: 0.9
- layer_range: [0, 40]
model: grimjim/magnum-consolidatum-v1-12b
parameters:
weight: 0.1