quantize_config.json

{
  "bits": 4,
  "group_size": 128,
  "desc_act": false,
  "lm_head": false,
  "quant_method": "gptq",
  "checkpoint_format": "gptq",
  "pack_dtype": "int32",
  "meta": {
    "quantizer": [
      "gptqmodel:5.7.0"
    ],
    "uri": "https://github.com/modelcloud/gptqmodel",
    "damp_percent": 0.05,
    "damp_auto_increment": 0.01,
    "static_groups": false,
    "true_sequential": true,
    "mse": 0.0,
    "gptaq": null,
    "act_group_aware": true,
    "failsafe": {
      "strategy": "rtn",
      "threshold": "0.5%",
      "smooth": {
        "type": "mad",
        "group_size_threshold": 128,
        "k": 2.75
      }
    },
    "offload_to_disk": true,
    "offload_to_disk_path": "./gptqmodel_offload/hqdpgrum-rkaakpxx/",
    "pack_impl": "cpu",
    "mock_quantization": false,
    "gc_mode": "interval",
    "wait_for_submodule_finalizers": false,
    "auto_forward_data_parallel": true,
    "hessian": {
      "chunk_size": null,
      "chunk_bytes": null,
      "staging_dtype": "float32"
    },
    "vram_strategy": "exclusive"
  },
  "sym": true,
  "format": "gptq"
}