Refine merge script #92
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Pull Request Overview
This PR adds configurable aggregation options to a model merging script, allowing users to specify custom weights for each model and choose between averaging or summing parameters.
- Added
--source-weightsparameter to specify individual model weights - Added
--aggregation-methodparameter to choose between "average" and "sum" operations - Modified parameter accumulation logic to use weighted calculations instead of simple averaging
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| @@ -87,36 +125,36 @@ def main(): | |||
| raise ValueError(f"Shape mismatch for key '{key}': " | |||
| f"{param_sums[key].shape} vs {tensor.shape}") | |||
| param_sums[key] += tensor | |||
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The parameter accumulation is not applying the weights. It should be param_sums[key] += tensor * weight to properly implement weighted merging.
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@reiyw ping |
reiyw
approved these changes
Aug 29, 2025
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モデルマージ用スクリプトに計算式を変更するオプションを追加：
何も指定しなければ単純な相加平均になります。