Llama-3.2V-11B-cot-int4-sym-inc / quantize_config.json
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{
"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": 128,
"low_gpu_mem_usage": false,
"to_quant_block_names": "language_model.model.layers",
"enable_norm_bias_tuning": false,
"autoround_version": "0.4.2.dev",
"block_name_to_quantize": "language_model.model.layers",
"quant_method": "gptq",
"desc_act": false,
"true_sequential": false,
"damp_percent": 0.01
}