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Upload quantize_config.json with huggingface_hub

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  1. quantize_config.json +32 -0
quantize_config.json ADDED
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+ {
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+ "bits": 4,
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+ "group_size": 128,
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+ "sym": false,
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+ "data_type": "int",
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+ "enable_quanted_input": true,
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+ "enable_minmax_tuning": true,
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+ "seqlen": 2048,
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+ "batch_size": 8,
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+ "scale_dtype": "torch.float16",
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+ "lr": 0.001,
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+ "minmax_lr": 0.001,
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+ "gradient_accumulate_steps": 1,
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+ "iters": 1000,
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+ "amp": true,
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+ "nsamples": 512,
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+ "low_gpu_mem_usage": true,
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+ "to_quant_block_names": null,
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+ "enable_norm_bias_tuning": false,
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+ "act_bits": 16,
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+ "act_group_size": 128,
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+ "act_sym": false,
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+ "act_dynamic": true,
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+ "act_data_type": "int",
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+ "super_bits": null,
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+ "super_group_size": null,
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+ "autoround_version": "0.4.7",
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+ "quant_method": "gptq",
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+ "desc_act": false,
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+ "true_sequential": false,
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+ "damp_percent": 0.01
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+ }