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Added quant_method to quantization_config
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{
"_name_or_path": "/root/.cache/huggingface/hub/models--neuralmagic--SparseLlama-2-7b-cnn-daily-mail-pruned_50.2of4/snapshots/9f5abdaba734b6ff492723a824ee4c9c269da61a",
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
"transformers_version": "4.40.0",
"use_cache": true,
"vocab_size": 32000,
"quantization_config": {
"quantization_config": {
"config_groups": {
"group_0": {
"input_activations": null,
"output_activations": null,
"targets": [
"Linear"
],
"weights": {
"block_structure": null,
"dynamic": false,
"group_size": null,
"num_bits": 4,
"observer": "minmax",
"observer_kwargs": {},
"strategy": "channel",
"symmetric": true,
"type": "int"
}
}
},
"format": "pack-quantized",
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"ignore": [
"lm_head"
],
"quant_method": "sparseml",
"quantization_status": "frozen"
},
"sparsity_config": {
"format": "dense",
"global_sparsity": 53.93040953679281,
"registry_requires_subclass": false,
"sparsity_structure": "unstructured"
},
"quant_method": "compressed-tensors"
}
}