quantization_config.json

{
  "bits": 4,
  "group_size": 128,
  "sym": true,
  "data_type": "int",
  "enable_quanted_input": true,
  "enable_minmax_tuning": true,
  "seqlen": 512,
  "batch_size": 1,
  "scale_dtype": "torch.float16",
  "lr": 0.005,
  "minmax_lr": 0.005,
  "gradient_accumulate_steps": 8,
  "iters": 200,
  "amp": true,
  "nsamples": 512,
  "low_gpu_mem_usage": true,
  "to_quant_block_names": [
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    ]
  ],
  "enable_norm_bias_tuning": false,
  "dataset": "liuhaotian/llava",
  "autoround_version": "0.4.0.dev",
  "quant_method": "intel/auto-round",
  "backend": "auto_round:gptq:exllamav2"
}