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choprahetarth/gemma-merged-one-layer-only
gemma-merged-one-layer-only is a text generation model from choprahetarth. Use it when you need the model to write or continue text. It is set up for transformers.
This is a merge of pre-trained language models created using mergekit.
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From the Hugging Face model README
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using google/gemma-2-2b as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: google/gemma-2-2b
dtype: bfloat16
merge_method: ties
parameters:
int8_mask: 1.0
normalize: 1.0
slices:
- sources:
- layer_range: [0, 26]
model: google/gemma-2-2b
- layer_range: [0, 26]
model: google/gemma-2-2b-it
parameters:
density:
- filter: self_attn.o_proj.9
value: 1.0
- value: 0.001
weight:
- value: 1.0
tokenizer_source: union