46 lines
1.5 KiB
Markdown
46 lines
1.5 KiB
Markdown
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---
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base_model: []
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library_name: transformers
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tags:
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- mergekit
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- merge
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license: apache-2.0
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---
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# Credit for the model card's description goes to ddh0 and mergekit
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# Looking for [Mistral-10.7B-Instruct-v0.2?](https://huggingface.co/ddh0/Mistral-10.7B-Instruct-v0.2)
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# Credit for access and conversion of Mistral-7B-v0.2 goes to alpindale (from MistalAI's weights to HF Transformers)
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# Mistral-10.7B-v0.2
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This is Mistral-10.7B-v0.2, a depth-upscaled version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf).
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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.
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Paper detailing how Depth-Up Scaling works: [SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling](https://arxiv.org/abs/2312.15166)
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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dtype: bfloat16
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merge_method: passthrough
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slices:
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- sources:
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- layer_range: [0, 24]
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model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
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- sources:
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- layer_range: [8, 32]
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model: /Users/jsarnecki/opt/Workspace/alpindale/Mistral-7B-v0.2-hf
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```
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