{
    "quant_method": "exl3",
    "version": "0.0.1",
    "bits": 4.0,
    "calibration": {
        "rows": 100,
        "cols": 2048
    },
    "tensor_storage": {
        "model.embed_tokens": {
            "stored_tensors": {
                "model.embed_tokens.weight": {
                    "shape": [
                        128256,
                        2048
                    ],
                    "n_bytes": 525336576,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.0.input_layernorm": {
            "stored_tensors": {
                "model.layers.0.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.0.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.0.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.0.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.0.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.0.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.0.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.0.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.0.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.0.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.0.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.0.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.0.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.input_layernorm": {
            "stored_tensors": {
                "model.layers.1.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.1.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.1.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.1.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.1.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.1.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.1.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.1.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.1.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.1.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.1.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.1.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.1.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.input_layernorm": {
            "stored_tensors": {
                "model.layers.2.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.2.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.2.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.2.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.2.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.2.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.2.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.2.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.2.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.2.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.2.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.2.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.2.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.input_layernorm": {
            "stored_tensors": {
                "model.layers.3.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.3.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.3.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.3.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.3.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.3.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.3.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.3.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.3.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.3.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.3.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.3.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.3.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.input_layernorm": {
            "stored_tensors": {
                "model.layers.4.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.4.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.4.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.4.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.4.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.4.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.4.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.4.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.4.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.4.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.4.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.4.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.4.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.input_layernorm": {
            "stored_tensors": {
                "model.layers.5.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.5.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.5.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.5.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.5.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.5.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.5.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.5.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.5.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.5.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.5.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.5.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.5.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.input_layernorm": {
            "stored_tensors": {
                "model.layers.6.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.6.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.6.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.6.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.6.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.6.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.6.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.6.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.6.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.6.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.6.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.6.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.6.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.input_layernorm": {
            "stored_tensors": {
                "model.layers.7.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.7.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.7.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.7.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.7.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.7.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.7.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.7.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.7.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.7.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.7.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.7.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.7.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.input_layernorm": {
            "stored_tensors": {
                "model.layers.8.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.8.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.8.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.8.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.8.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.8.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.8.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.8.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.8.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.8.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.8.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.8.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.8.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.input_layernorm": {
            "stored_tensors": {
                "model.layers.9.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.9.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.9.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.9.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.9.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.9.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.9.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.9.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.9.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.9.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.9.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.9.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.9.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.input_layernorm": {
            "stored_tensors": {
                "model.layers.10.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.10.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.10.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.10.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.10.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.10.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.10.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.10.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.10.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.10.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.10.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.10.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.10.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.input_layernorm": {
            "stored_tensors": {
                "model.layers.11.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.11.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.11.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.11.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.11.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.11.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.11.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.11.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.11.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.11.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.11.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.11.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.11.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.input_layernorm": {
            "stored_tensors": {
                "model.layers.12.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.12.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.12.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.12.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.12.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.12.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.12.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.12.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.12.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.12.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.12.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.12.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.12.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.input_layernorm": {
            "stored_tensors": {
                "model.layers.13.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.13.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.13.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.13.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.13.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.13.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.13.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.13.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.13.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.13.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.13.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.13.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.13.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.input_layernorm": {
            "stored_tensors": {
                "model.layers.14.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.14.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.14.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.14.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.14.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.14.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.14.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.14.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.14.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.14.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.14.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.14.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.14.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.input_layernorm": {
            "stored_tensors": {
                "model.layers.15.input_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.15.self_attn.q_proj": {
            "stored_tensors": {
                "model.layers.15.self_attn.q_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.q_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.q_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.self_attn.k_proj": {
            "stored_tensors": {
                "model.layers.15.self_attn.k_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.k_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.k_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.self_attn.v_proj": {
            "stored_tensors": {
                "model.layers.15.self_attn.v_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.v_proj.svh": {
                    "shape": [
                        512
                    ],
                    "n_bytes": 1024,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.v_proj.trellis": {
                    "shape": [
                        128,
                        32,
                        64
                    ],
                    "n_bytes": 524288,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.self_attn.o_proj": {
            "stored_tensors": {
                "model.layers.15.self_attn.o_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.o_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.self_attn.o_proj.trellis": {
                    "shape": [
                        128,
                        128,
                        64
                    ],
                    "n_bytes": 2097152,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.post_attention_layernorm": {
            "stored_tensors": {
                "model.layers.15.post_attention_layernorm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "model.layers.15.mlp.up_proj": {
            "stored_tensors": {
                "model.layers.15.mlp.up_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.up_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.up_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.mlp.gate_proj": {
            "stored_tensors": {
                "model.layers.15.mlp.gate_proj.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.gate_proj.svh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.gate_proj.trellis": {
                    "shape": [
                        128,
                        512,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.layers.15.mlp.down_proj": {
            "stored_tensors": {
                "model.layers.15.mlp.down_proj.suh": {
                    "shape": [
                        8192
                    ],
                    "n_bytes": 16384,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.down_proj.svh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "model.layers.15.mlp.down_proj.trellis": {
                    "shape": [
                        512,
                        128,
                        64
                    ],
                    "n_bytes": 8388608,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 4
        },
        "model.norm": {
            "stored_tensors": {
                "model.norm.weight": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                }
            }
        },
        "lm_head": {
            "stored_tensors": {
                "lm_head.suh": {
                    "shape": [
                        2048
                    ],
                    "n_bytes": 4096,
                    "dtype": "torch.float16"
                },
                "lm_head.svh": {
                    "shape": [
                        128256
                    ],
                    "n_bytes": 256512,
                    "dtype": "torch.float16"
                },
                "lm_head.trellis": {
                    "shape": [
                        128,
                        8016,
                        96
                    ],
                    "n_bytes": 197001216,
                    "dtype": "torch.int16"
                }
            },
            "quant_format": "exl3",
            "bits_per_weight": 6
        }
    }
}