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{
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"group_size": 128,
"sym": true,
"data_type": "int",
"enable_quanted_input": true,
"enable_minmax_tuning": true,
"seqlen": 2048,
"batch_size": 8,
"scale_dtype": "torch.float16",
"lr": 0.0005,
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"gradient_accumulate_steps": 1,
"iters": 2000,
"amp": true,
"nsamples": 512,
"low_gpu_mem_usage": false,
"to_quant_block_names": null,
"enable_norm_bias_tuning": false,
"dataset": "NeelNanda/pile-10k",
"autoround_version": "0.4.2",
"quant_method": "intel/auto-round",
"backend": "auto_round:gptq:exllamav2"
} |