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Model: cs-552-2026-databand/group_model Source: Original Platform
2026-07-27 07:22:11 +08:00
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+---
+base_model:
+- cs-552-2026-databand/multilingual_model
+- cs-552-2026-databand/safety_model
+- cs-552-2026-databand/math_model
+- Qwen/Qwen3-1.7B
+- cs-552-2026-databand/general_knowledge_model
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# group_final
+
+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 TIES](https://arxiv.org/abs/2311.03099) merge method using [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [cs-552-2026-databand/multilingual_model](https://huggingface.co/cs-552-2026-databand/multilingual_model)
+* [cs-552-2026-databand/safety_model](https://huggingface.co/cs-552-2026-databand/safety_model)
+* [cs-552-2026-databand/math_model](https://huggingface.co/cs-552-2026-databand/math_model)
+* [cs-552-2026-databand/general_knowledge_model](https://huggingface.co/cs-552-2026-databand/general_knowledge_model)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: Qwen/Qwen3-1.7B
+dtype: bfloat16
+merge_method: dare_ties
+modules:
+  default:
+    slices:
+    - sources:
+      - layer_range: [0, 28]
+        model: cs-552-2026-databand/math_model
+        parameters:
+          density: 0.9
+          weight: 1.0
+      - layer_range: [0, 28]
+        model: cs-552-2026-databand/general_knowledge_model
+        parameters:
+          density: 0.9
+          weight: 1.0
+      - layer_range: [0, 28]
+        model: cs-552-2026-databand/safety_model
+        parameters:
+          density: 0.9
+          weight: 1.0
+      - layer_range: [0, 28]
+        model: cs-552-2026-databand/multilingual_model
+        parameters:
+          density: 0.9
+          weight: 1.0
+      - layer_range: [0, 28]
+        model: Qwen/Qwen3-1.7B
+parameters:
+  int8_mask: 1.0
+  normalize: 1.0
+```