merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
dtype: bfloat16
merge_method: passthrough
slices:
- sources:
- layer_range: [0, 8]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [4, 12]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [8, 16]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [12, 20]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [16, 24]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [20, 28]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
- sources:
- layer_range: [24, 32]
model: Magpie-Align/MagpieLM-8B-Chat-v0.1
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Model tree for win10/MagpieLM-13.3B-Chat-v0.1
Base model
meta-llama/Llama-3.1-8B
Finetuned
Magpie-Align/MagpieLM-8B-SFT-v0.1
Finetuned
Magpie-Align/MagpieLM-8B-Chat-v0.1