--- base_model: [] library_name: transformers tags: - mergekit - merge --- # output This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the SLERP merge method. ### Models Merged The following models were included in the merge: * sometimesanotion/lamarck-14b-converge-breadcrumbs * sometimesanotion/lamarck-14b-converge-della-linear ### Configuration The following YAML configuration was used to produce this model: ```yaml name: Lamarck-14B-v0.6-candidate-01 merge_method: slerp base_model: sometimesanotion/lamarck-14b-converge-della-linear tokenizer_source: base dtype: float32 out_dtype: bfloat16 parameters: int8_mask: true normalize: true rescale: false parameters: t: - value: 0.30 slices: - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 0, 8 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 0, 8 ] - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 8, 16 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 8, 16 ] - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 16, 24 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 16, 24 ] - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 24, 32 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 24, 32 ] - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 32, 40 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 32, 40 ] - sources: - model: sometimesanotion/lamarck-14b-converge-della-linear layer_range: [ 40, 48 ] - model: sometimesanotion/lamarck-14b-converge-breadcrumbs layer_range: [ 40, 48 ] ```