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QuantFactory/Gemma-2-Ataraxy-Doppel-9B-GGUF
Gemma-2-Ataraxy-Doppel-9B-GGUF is a machine learning model from QuantFactory. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Downloads · 30 days
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From the Hugging Face model README
This is quantized version of lemon07r/Gemma-2-Ataraxy-Doppel-9B created using llama.cpp
One last test model.. that you should ignore again.
This is a merge of pre-trained language models created using mergekit.
This model was merged using the della merge method using unsloth/gemma-2-9b-it as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: unsloth/gemma-2-9b-it
dtype: bfloat16
merge_method: della
parameters:
epsilon: 0.1
int8_mask: 1.0
lambda: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 42]
model: unsloth/gemma-2-9b-it
- layer_range: [0, 42]
model: wzhouad/gemma-2-9b-it-WPO-HB
parameters:
density: 0.55
weight: 0.6
- layer_range: [0, 42]
model: princeton-nlp/gemma-2-9b-it-SimPO
parameters:
density: 0.35
weight: 0.6
- layer_range: [0, 42]
model: nbeerbower/Gemma2-Gutenberg-Doppel-9B
parameters:
density: 0.25
weight: 0.4