config.json

{
  "_name_or_path": "Qwen/Qwen1.5-MoE-A2.7B-Chat",
  "architectures": [
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  ],
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  "norm_topk_prob": false,
  "num_attention_heads": 16,
  "num_experts": 60,
  "num_experts_per_tok": 4,
  "num_hidden_layers": 24,
  "num_key_value_heads": 16,
  "output_router_logits": false,
  "quantization_config": {
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        "targets": [
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        "weights": {
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          "observer": "minmax",
          "observer_kwargs": {},
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          "type": "int"
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    },
    "format": "pack-quantized",
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    "ignore": [
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      "model.layers.2.mlp.gate",
      "model.layers.2.mlp.shared_expert_gate",
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      "model.layers.7.mlp.shared_expert_gate",
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      "model.layers.9.mlp.gate",
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      "model.layers.15.mlp.gate",
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      "model.layers.16.mlp.shared_expert_gate",
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      "model.layers.17.mlp.shared_expert_gate",
      "model.layers.18.mlp.gate",
      "model.layers.18.mlp.shared_expert_gate",
      "model.layers.19.mlp.gate",
      "model.layers.19.mlp.shared_expert_gate",
      "model.layers.20.mlp.gate",
      "model.layers.20.mlp.shared_expert_gate",
      "model.layers.21.mlp.gate",
      "model.layers.21.mlp.shared_expert_gate",
      "model.layers.22.mlp.gate",
      "model.layers.22.mlp.shared_expert_gate",
      "model.layers.23.mlp.gate",
      "model.layers.23.mlp.shared_expert_gate",
      "lm_head"
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    "kv_cache_scheme": null,
    "quant_method": "compressed-tensors",
    "quantization_status": "compressed"
  },
  "rms_norm_eps": 1e-06,
  "rope_scaling": null,
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  "torch_dtype": "bfloat16",
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  "vocab_size": 151936
}