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HY-MT1.5-7B-GPTQ-Int4

Translation
Transformers
Safetensors
hunyuan_v1_dense
text-generation
4-bit precision
gptq
Model card Files
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HY-MT1.5-7B-GPTQ-Int4
File size: 2,168 Bytes
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{
    "model_config": {
        "name": "HunyuanDense",
        "model_path": "Base Model Path",
        "trust_remote_code": true,
        "torch_dtype": "auto",
        "device_map": "cpu",
        "low_cpu_mem_usage": true,
        "use_cache": false,
        "cache_dir": null,
        "use_audio_in_video": false,
        "attn_implementation": "default"
    },
    "compression_config": {
        "name": [
            "PTQ"
        ],
        "quantization": {
            "name": "int4_gptq",
            "save_name": "compressed-tensors",
            "bits": 4,
            "quant_method": {
                "weight": "per-group",
                "group_size": 64
            },
            "quant_helpers": [],
            "smooth_alpha": 0.5,
            "low_memory": false,
            "cpu_convert": false,
            "modules_to_quantize": [],
            "zero_point": true,
            "mse_range": false,
            "ignore_layers": [
                "lm_head",
                "mlp.gate.wg"
            ],
            "quant_analyse": false,
            "quant_vit": false
        },
        "cache": null
    },
    "dataset_config": {
        "name": "TextDataset",
        "data_path": "Data Path",
        "max_seq_length": 4096,
        "num_samples": 1024,
        "batch_size": 1,
        "shuffle": false,
        "inference_settings": null
    },
    "global_config": {
        "save_path": "Save Model Path",
        "max_seq_length": 4096,
        "hidden_size": 4096,
        "model_arch_type": "hunyuan_v1_dense",
        "absolute_model_path": "",
        "deploy_backend": "vllm"
    },
    "infer_config": null,
    "debug_info": {
        "python": "3.10.14 (main, Mar  6 2025, 18:16:47) [GCC 11.4.0]",
        "angelslim": {
            "name": "angelslim",
            "version": "N/A",
            "source": "Unknown"
        },
        "torch": {
            "name": "torch",
            "version": "2.7.0",
            "source": "pip"
        },
        "transformers": {
            "name": "transformers",
            "version": "4.57.3",
            "source": "pip"
        },
        "torch_cuda_version": "12.6"
    }
}