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Model: cs-552-2026-claude-bots/group_model
Source: Original Platform

mergekit_config.yml

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+# TIES merge configuration for 4 specialized Qwen fine-tunes
+# Goal:
+# - Preserve strong domain expertise from each model
+# - Reduce destructive interference between skills
+# - Keep general reasoning stability from the base model
+#
+# Recommended for:
+# - Qwen2 / Qwen2.5 instruction-tuned variants
+# - Same architecture + same parameter count
+# - Same tokenizer + same base checkpoint lineage
+
+models:
+  # ---------------------------
+  # Math specialist
+  # ---------------------------
+  - model: cs-552-2026-claude-bots/math_model
+    parameters:
+      # High density because math capabilities are usually sparse
+      # and easily lost during merging
+      density:
+        - filter: self_attn
+          value: 0.72
+        - filter: mlp
+          value: 0.82
+
+      # Strong contribution in reasoning-heavy blocks
+      weight:
+        - filter: self_attn
+          value: 1.25
+        - filter: mlp
+          value: 1.15
+        - value: 1.10
+
+  # ---------------------------
+  # Knowledge / factual model
+  # ---------------------------
+  - model: cs-552-2026-claude-bots/general_knowledge_model
+    parameters:
+      # Moderate density:
+      # factual tuning tends to be more distributed
+      density: 0.58
+
+      # Slightly lower than math to avoid overwriting reasoning
+      weight:
+        - filter: self_attn
+          value: 1.00
+        - filter: mlp
+          value: 0.95
+        - value: 0.95
+
+  # ---------------------------
+  # Multilingual specialist
+  # ---------------------------
+  - model: cs-552-2026-claude-bots/multilingual_model
+    parameters:
+      # Language capabilities are often spread broadly,
+      # so use reasonably high density
+      density:
+        - filter: embed_tokens
+          value: 0.90
+        - filter: self_attn
+          value: 0.68
+        - filter: mlp
+          value: 0.62
+
+      # Stronger influence on embeddings and attention
+      weight:
+        - filter: embed_tokens
+          value: 1.30
+        - filter: self_attn
+          value: 1.10
+        - value: 1.00
+
+  # ---------------------------
+  # Safety / alignment model
+  # ---------------------------
+  - model: cs-552-2026-claude-bots/safety_model
+    parameters:
+      # Lower density prevents excessive refusals
+      # while still preserving alignment behavior
+      density: 0.34
+
+      # Important but intentionally constrained
+      weight:
+        - filter: self_attn
+          value: 0.82
+        - filter: mlp
+          value: 0.72
+        - value: 0.75
+
+merge_method: ties
+
+# IMPORTANT:
+# Use the ORIGINAL shared pretrained base model
+# from which all four fine-tunes were derived.
+base_model: Qwen/Qwen3-1.7B
+
+parameters:
+  # Critical for TIES stability
+  normalize: true
+
+  # Helps reduce memory usage and improves masking behavior
+  int8_mask: true
+
+  # Trim very small parameter deltas
+  # Good default for 4-way merges
+  prune_threshold: 0.015
+
+dtype: bfloat16
+
+# Optional:
+# tokenizer_source: base
+# chat_template: auto