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Quantize config:

{
  "bits": 4,
  "group_size": 128,
  "damp_percent": 0.01,
  "desc_act": false,
  "static_groups": false,
  "sym": true,
  "true_sequential": false,
  "model_name_or_path": null,
  "model_file_base_name": "model",
  "quant_method": "gptq",
  "checkpoint_format": "gptq",
  "meta": {
    "quantizer": "intel/auto-round:0.2.0.dev",
    "packer": "autogptq:0.8.0.dev1",
    "iters": 1000,
    "lr": 0.001,
    "minmax_lr": 0.001,
    "enable_minmax_tuning": false,
    "enable_quanted_input": true,
    "scale_dtype": "float16"
  }
}
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Model size
1.64B params
Tensor type
I32
BF16
FP16
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