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Model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
Source: Original Platform

README.md

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+---
+base_model:
+- alpindale/Mistral-7B-v0.2-hf
+- mistralai/Mistral-7B-Instruct-v0.2
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+pipeline_tag: text-generation
+
+---
+# Mistral-7B-Instruct-demi-merge-v0.2-7B
+
+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.
+
+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.
+
+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.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf)
+* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: mistralai/Mistral-7B-Instruct-v0.2
+      layer_range: [0,32]
+    - model: alpindale/Mistral-7B-v0.2-hf
+      layer_range: [0,32]
+merge_method: slerp
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+parameters:
+  t:
+    - value: 0.5
+dtype: bfloat16
+
+```