Layer Addition Models
Collection
Strategic merging of language models through layer-level architecture optimization.
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3 items
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Updated
This is a merge of pre-trained language models created using mergekit.
This model was merged using the passthrough merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range:
- 0
- 10
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- sources:
- layer_range:
- 5
- 15
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- sources:
- layer_range:
- 10
- 20
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- sources:
- layer_range:
- 15
- 25
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- sources:
- layer_range:
- 20
- 30
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
- sources:
- layer_range:
- 25
- 80
model: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF