MiniCPM-V-GPTQ-w4a16g128 / compressed_config.json
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{
"format": "mindpipe_hf_save_pretrained_debug",
"algorithm": "gptq",
"model_path": "/mnt/82_store/LLM-weights/openbmb/MiniCPM-V",
"result_dir": "/mnt/82_store/wxx/HWQuant/Mindpipe/results/MiniCPM-V/gptq/gptq_w4a16_seq512",
"weight_bits": 4,
"activation_bits": 16,
"sequence_length": 512,
"group_size": 128,
"output_dir": "/mnt/82_store/wxx/HWQuant/Mindpipe/tmp_hf_save/MiniCPM-V-GPTQ-w4a16g128/_pre_save_workflow",
"pre_save_metrics": {
"perplexity": 9.280270004821208,
"evaluation_dataset": "wikitext2",
"sequence_length": 512,
"evaluated_chunks": 4,
"batch_size": 1,
"elapsed_seconds": 0.21972699742764235,
"tokens_per_second": 9302.452697798793,
"model_path": "/mnt/82_store/LLM-weights/openbmb/MiniCPM-V",
"quantization_algorithm": "gptq",
"weight_bits": 4,
"activation_bits": 16,
"device": "cuda:0",
"dtype": "float16",
"artifacts_path": "artifacts.json"
},
"load_note": "Use MindPipe to rebuild the compression structure before loading the HF state dict."
}