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Model: grimjim/Mistral-Starling-merge-trial1-7B
Source: Original Platform

README.md

@@ -0,0 +1,51 @@
+---
+base_model:
+- Nexusflow/Starling-LM-7B-beta
+- grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# Mistral-Starling-merge-trial1-7B
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+The goal was to combine strong reasoning with 32K context length.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
+* [grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B](https://huggingface.co/grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+      - model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+        layer_range: [0, 32]
+      - model: Nexusflow/Starling-LM-7B-beta
+        layer_range: [0, 32]
+# or, the equivalent models: syntax:
+# models:
+merge_method: slerp
+base_model: grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5 # fallback for rest of tensors
+dtype: bfloat16
+
+```