# Coral-v1.5-0.6B merge config (mergekit)
# Method: TIES — computes each finetune's task vector vs the base, trims to the
# strongest deltas, elects a consensus sign per parameter, then merges. Stable
# and quality-preserving (same method as CoralLM-1B). Stays at 0.6B params.
#
# Run:
#   mergekit-yaml coral-v1.5-0.6b.yml ./coral-v1.5-0.6b-out --cuda
#
# All donors are Qwen3-0.6B finetunes -> shared tokenizer/arch, native <think>.

base_model: Qwen/Qwen3-0.6B          # reference anchor, NOT a contributor
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true                    # keep merged magnitudes sane across 5 contributors
  int8_mask: true                    # memory-light sign mask

models:
  # --- Thinking / reasoning (the spicy stars, split across two sources) ---
  - model: reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT
    parameters:
      weight: 0.30
      density: 0.5
  - model: MihaiPopa-1/Qwen-3-0.6B-Claude-4.7-Opus-Distilled
    parameters:
      weight: 0.30
      density: 0.5

  # --- Code ---
  - model: suayptalha/Qwen3-0.6B-Code-Expert
    parameters:
      weight: 0.25
      density: 0.5

  # --- Uncensored / de-alignment (two sources, kept light so they don't dominate) ---
  - model: DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored
    parameters:
      weight: 0.15
      density: 0.5
  - model: huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2
    parameters:
      weight: 0.15
      density: 0.5