51 lines
1.6 KiB
Markdown
51 lines
1.6 KiB
Markdown
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---
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base_model:
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- alpindale/Mistral-7B-v0.2-hf
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- mistralai/Mistral-7B-Instruct-v0.2
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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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pipeline_tag: text-generation
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---
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# Mistral-7B-Instruct-demi-merge-v0.2-7B
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This is a merge of pre-trained Mistral v0.2 language models created using [mergekit](https://github.com/cg123/mergekit). Both models have 32K context length without a sliding window, as does this merge.
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The base model as released felt like it needed more training. The instruct model felt fully trained. This merge aimed to be a compromise between the two, to enable future merging and/or fine-tuning by thawing out the Instruct model while keeping some of its strengths.
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Light testing has confirmed that the resulting merged model can operate to the full 32K context length, exceeding the 8K context that characterized the Mistral-7B-0.1 release.
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf)
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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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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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slices:
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- sources:
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- model: mistralai/Mistral-7B-Instruct-v0.2
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layer_range: [0,32]
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- model: alpindale/Mistral-7B-v0.2-hf
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layer_range: [0,32]
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merge_method: slerp
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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parameters:
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t:
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- value: 0.5
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dtype: bfloat16
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```
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