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Model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8.8
Source: Original Platform

README.md

@@ -0,0 +1,56 @@
+---
+base_model:
+- Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
+- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
+- Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
+library_name: transformers
+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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion)
+* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8)
+* [Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5](https://huggingface.co/Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
+merge_method: slerp
+tokenizer_source: base
+dtype: bfloat16
+parameters:
+  t:
+  - filter: self_attn
+    value: [0.0, 0.5, 0.3, 0.7, 1.0]
+  - filter: mlp
+    value: [1.0, 0.5, 0.7, 0.3, 0.0]
+  - value: 0.5
+slices:
+  - sources:
+    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
+      layer_range: [0, 24]
+    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v5
+      layer_range: [0, 24]
+  - sources:
+    - model:       Lunzima/NQLSG-Qwen2.5-14B-MegaFusion-v8
+      layer_range: [24, 48]
+    - model:       Lunzima/NQLSG-Qwen2.5-14B-OriginalFusion
+      layer_range: [24, 48]
+
+```