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Model: MRAIRR/mini_7B_dare_v1
Source: Original Platform

README.md

@@ -0,0 +1,55 @@
+---
+license: apache-2.0
+base_model:
+- mistralai/Mistral-7B-v0.1
+- OpenBuddy/openbuddy-mistral-7b-v13.1
+- MRAIRR/hubsalmon_tra
+- EmbeddedLLM/Mistral-7B-Merge-14-v0.3
+tags:
+- mergekit
+- merge
+
+---
+# merge
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### mini_7B_dare_v1
+
+The following models were included in the merge:
+* [OpenBuddy/openbuddy-mistral-7b-v13.1](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1)
+* [MRAIRR/hubsalmon_tra](https://huggingface.co/MRAIRR/hubsalmon_tra)
+* [EmbeddedLLM/Mistral-7B-Merge-14-v0.3](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.3)
+
+
+### 🧩 Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+  - model: OpenBuddy/openbuddy-mistral-7b-v13.1
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: MRAIRR/hubsalmon_tra
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true 
+dtype: bfloat16 
+
+```