general-50-uniform/pruned_metadata.json

{
  "base_model": "Qwen/Qwen3-Coder-Next",
  "prune_mask": "results/coder_next/mask_general_uniform_50pct.pt",
  "allocation": "uniform",
  "original_num_experts": 512,
  "num_hidden_layers": 48,
  "num_experts_per_tok": 10,
  "per_layer_num_experts": [
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    256,
    256,
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    256,
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  ],
  "total_pruned": 12288,
  "sparsity": 0.5
}