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Model: NotHereNorThere/CoralLM-1b-raw
Source: Original Platform

mergekit_config.yml

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+# CoralLM merge config (mergekit)
+# Method: TIES — trims each finetune's task vector to its strongest deltas,
+# elects a consensus sign per parameter, then merges. Stable and
+# quality-preserving on Llama-3.2-1B (same method bunnycore's popular
+# 1B/3B merges use). Swap merge_method to dare_ties to experiment.
+#
+# Run:
+#   pip install mergekit
+#   mergekit-yaml corallm_merge.yml ./corallm-merge --cuda
+#
+# Note: meta-llama/Llama-3.2-1B-Instruct is GATED. Before running:
+#   huggingface-cli login        (and accept the license on the model page)
+
+base_model: meta-llama/Llama-3.2-1B-Instruct   # reference anchor, not a contributor
+merge_method: ties
+dtype: float16
+parameters:
+  normalize: true        # keep merged magnitudes in check across 4 contributors
+  int8_mask: true        # memory-light sign mask
+
+models:
+  # --- Reasoning (split across two sources so it doesn't dominate) ---
+  - model: EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2
+    parameters:
+      weight: 0.30
+      density: 0.5
+  - model: Predacon/Pico-Lamma-3.2-1B-Reasoning-Instruct
+    parameters:
+      weight: 0.20
+      density: 0.5
+
+  # --- Math / coding / logic ---
+  - model: ai-nexuz/llama-3.2-1b-instruct-fine-tuned
+    parameters:
+      weight: 0.30
+      density: 0.5
+
+  # --- General / creative / roleplay (loosens Meta's sterile alignment) ---
+  - model: bunnycore/Llama-3.2-1B-General-Best
+    parameters:
+      weight: 0.25
+      density: 0.5