SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper
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2312.15166
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Published
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61
This is Mistral-10.7B-v0.2, a depth-upscaled version of alpindale/Mistral-7B-v0.2-hf.
This model is intended to be used as a basis for further fine-tuning, or as a drop-in upgrade from the original 7 billion parameter model.
Paper detailing how Depth-Up Scaling works: SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
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, 24]
model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
- sources:
- layer_range: [8, 32]
model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf