{ "quant_method": "exl3", "version": "0.0.1", "bits": 4.5, "calibration": { "rows": 100, "cols": 2048 }, "tensor_storage": { "model.embed_tokens": { "stored_tensors": { "model.embed_tokens.weight": { "shape": [ 151936, 1536 ], "n_bytes": 466747392, "dtype": "torch.float16" } } }, "model.layers.0.input_layernorm": { "stored_tensors": { "model.layers.0.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.0.self_attn.q_proj": { "stored_tensors": { "model.layers.0.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.0.self_attn.k_proj": { "stored_tensors": { "model.layers.0.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.0.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.0.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.0.self_attn.v_proj": { "stored_tensors": { "model.layers.0.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.0.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.0.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.0.self_attn.o_proj": { "stored_tensors": { "model.layers.0.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.0.post_attention_layernorm": { "stored_tensors": { "model.layers.0.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.0.mlp.up_proj": { "stored_tensors": { "model.layers.0.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.0.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.0.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.0.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.0.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.1.input_layernorm": { "stored_tensors": { "model.layers.1.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.1.self_attn.q_proj": { "stored_tensors": { "model.layers.1.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.1.self_attn.k_proj": { "stored_tensors": { "model.layers.1.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.1.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.1.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.1.self_attn.v_proj": { "stored_tensors": { "model.layers.1.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.1.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.1.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.1.self_attn.o_proj": { "stored_tensors": { "model.layers.1.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.1.post_attention_layernorm": { "stored_tensors": { "model.layers.1.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.1.mlp.up_proj": { "stored_tensors": { "model.layers.1.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.1.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.1.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.1.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.1.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.2.input_layernorm": { "stored_tensors": { "model.layers.2.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.2.self_attn.q_proj": { "stored_tensors": { "model.layers.2.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.2.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.2.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.2.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.2.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.2.self_attn.o_proj": { "stored_tensors": { "model.layers.2.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.2.mlp.up_proj": { "stored_tensors": { "model.layers.2.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.2.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.2.mlp.gate_proj": { "stored_tensors": { "model.layers.2.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.2.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.2.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.2.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.3.input_layernorm": { "stored_tensors": { "model.layers.3.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.3.self_attn.q_proj": { "stored_tensors": { "model.layers.3.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.3.self_attn.k_proj": { "stored_tensors": { "model.layers.3.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.3.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.3.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.3.self_attn.v_proj": { "stored_tensors": { "model.layers.3.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.3.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.3.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.3.self_attn.o_proj": { "stored_tensors": { "model.layers.3.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.3.post_attention_layernorm": { "stored_tensors": { "model.layers.3.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.3.mlp.up_proj": { "stored_tensors": { "model.layers.3.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.3.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.3.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.3.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.3.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.4.input_layernorm": { "stored_tensors": { "model.layers.4.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.4.self_attn.q_proj": { "stored_tensors": { "model.layers.4.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.4.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.4.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.4.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.4.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.4.self_attn.o_proj": { "stored_tensors": { "model.layers.4.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.4.mlp.up_proj": { "stored_tensors": { "model.layers.4.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.4.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.4.mlp.gate_proj": { "stored_tensors": { "model.layers.4.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.4.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.4.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.4.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.5.input_layernorm": { "stored_tensors": { "model.layers.5.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.5.self_attn.q_proj": { "stored_tensors": { "model.layers.5.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.5.self_attn.k_proj": { "stored_tensors": { "model.layers.5.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.5.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.5.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.5.self_attn.v_proj": { "stored_tensors": { "model.layers.5.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.5.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.5.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.5.self_attn.o_proj": { "stored_tensors": { "model.layers.5.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.5.post_attention_layernorm": { "stored_tensors": { "model.layers.5.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.5.mlp.up_proj": { "stored_tensors": { "model.layers.5.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.5.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.5.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.5.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.5.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.6.input_layernorm": { "stored_tensors": { "model.layers.6.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.6.self_attn.q_proj": { "stored_tensors": { "model.layers.6.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.6.self_attn.k_proj": { "stored_tensors": { "model.layers.6.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.6.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.6.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.6.self_attn.v_proj": { "stored_tensors": { "model.layers.6.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.6.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.6.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.6.self_attn.o_proj": { "stored_tensors": { "model.layers.6.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.6.post_attention_layernorm": { "stored_tensors": { "model.layers.6.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.6.mlp.up_proj": { "stored_tensors": { "model.layers.6.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.6.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.6.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.6.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.6.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.7.input_layernorm": { "stored_tensors": { "model.layers.7.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.7.self_attn.q_proj": { "stored_tensors": { "model.layers.7.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.7.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.7.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.7.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.7.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.7.self_attn.o_proj": { "stored_tensors": { "model.layers.7.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.7.mlp.up_proj": { "stored_tensors": { "model.layers.7.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.7.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.7.mlp.gate_proj": { "stored_tensors": { "model.layers.7.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.7.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.7.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.7.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.8.input_layernorm": { "stored_tensors": { "model.layers.8.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.8.self_attn.q_proj": { "stored_tensors": { "model.layers.8.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.8.self_attn.k_proj": { "stored_tensors": { "model.layers.8.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.8.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.8.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.8.self_attn.v_proj": { "stored_tensors": { "model.layers.8.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.8.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.8.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.8.self_attn.o_proj": { "stored_tensors": { "model.layers.8.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.8.post_attention_layernorm": { "stored_tensors": { "model.layers.8.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.8.mlp.up_proj": { "stored_tensors": { "model.layers.8.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.8.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.8.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.8.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.8.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.9.input_layernorm": { "stored_tensors": { "model.layers.9.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.9.self_attn.q_proj": { "stored_tensors": { "model.layers.9.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.9.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.9.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.9.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.9.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.9.self_attn.o_proj": { "stored_tensors": { "model.layers.9.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.9.mlp.up_proj": { "stored_tensors": { "model.layers.9.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.9.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.9.mlp.gate_proj": { "stored_tensors": { "model.layers.9.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.9.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.9.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.9.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.10.input_layernorm": { "stored_tensors": { "model.layers.10.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.10.self_attn.q_proj": { "stored_tensors": { "model.layers.10.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.10.self_attn.k_proj": { "stored_tensors": { "model.layers.10.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.10.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.10.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.10.self_attn.v_proj": { "stored_tensors": { "model.layers.10.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.10.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.10.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.10.self_attn.o_proj": { "stored_tensors": { "model.layers.10.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.10.post_attention_layernorm": { "stored_tensors": { "model.layers.10.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.10.mlp.up_proj": { "stored_tensors": { "model.layers.10.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.10.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.10.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.10.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.10.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.11.input_layernorm": { "stored_tensors": { "model.layers.11.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.11.self_attn.q_proj": { "stored_tensors": { "model.layers.11.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.11.self_attn.k_proj": { "stored_tensors": { "model.layers.11.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.11.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.11.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.11.self_attn.v_proj": { "stored_tensors": { "model.layers.11.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.11.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.11.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.11.self_attn.o_proj": { "stored_tensors": { "model.layers.11.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.11.post_attention_layernorm": { "stored_tensors": { "model.layers.11.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.11.mlp.up_proj": { "stored_tensors": { "model.layers.11.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.11.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.11.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.11.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.11.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.12.input_layernorm": { "stored_tensors": { "model.layers.12.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.12.self_attn.q_proj": { "stored_tensors": { "model.layers.12.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.12.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.12.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.12.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.12.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.12.self_attn.o_proj": { "stored_tensors": { "model.layers.12.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.12.mlp.up_proj": { "stored_tensors": { "model.layers.12.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.12.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.12.mlp.gate_proj": { "stored_tensors": { "model.layers.12.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.12.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.12.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.12.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.13.input_layernorm": { "stored_tensors": { "model.layers.13.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.13.self_attn.q_proj": { "stored_tensors": { "model.layers.13.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.13.self_attn.k_proj": { "stored_tensors": { "model.layers.13.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.13.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.13.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.13.self_attn.v_proj": { "stored_tensors": { "model.layers.13.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.13.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.13.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.13.self_attn.o_proj": { "stored_tensors": { "model.layers.13.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.13.post_attention_layernorm": { "stored_tensors": { "model.layers.13.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.13.mlp.up_proj": { "stored_tensors": { "model.layers.13.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.13.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.13.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.13.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.13.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.14.input_layernorm": { "stored_tensors": { "model.layers.14.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.14.self_attn.q_proj": { "stored_tensors": { "model.layers.14.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.14.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.14.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "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.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.14.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.14.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.14.self_attn.o_proj": { "stored_tensors": { "model.layers.14.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.14.mlp.up_proj": { "stored_tensors": { "model.layers.14.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.14.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.14.mlp.gate_proj": { "stored_tensors": { "model.layers.14.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.14.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.14.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.14.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.15.input_layernorm": { "stored_tensors": { "model.layers.15.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.15.self_attn.q_proj": { "stored_tensors": { "model.layers.15.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.15.self_attn.k_proj": { "stored_tensors": { "model.layers.15.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.15.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.15.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.15.self_attn.v_proj": { "stored_tensors": { "model.layers.15.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.15.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.15.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.15.self_attn.o_proj": { "stored_tensors": { "model.layers.15.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.15.post_attention_layernorm": { "stored_tensors": { "model.layers.15.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.15.mlp.up_proj": { "stored_tensors": { "model.layers.15.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.15.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.15.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "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": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.15.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.15.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.16.input_layernorm": { "stored_tensors": { "model.layers.16.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.16.self_attn.q_proj": { "stored_tensors": { "model.layers.16.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.16.self_attn.k_proj": { "stored_tensors": { "model.layers.16.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.16.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.16.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.16.self_attn.v_proj": { "stored_tensors": { "model.layers.16.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.16.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.16.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.16.self_attn.o_proj": { "stored_tensors": { "model.layers.16.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.16.post_attention_layernorm": { "stored_tensors": { "model.layers.16.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.16.mlp.up_proj": { "stored_tensors": { "model.layers.16.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.16.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.16.mlp.gate_proj": { "stored_tensors": { "model.layers.16.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.16.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.16.mlp.down_proj": { "stored_tensors": { "model.layers.16.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.16.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.16.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.17.input_layernorm": { "stored_tensors": { "model.layers.17.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.17.self_attn.q_proj": { "stored_tensors": { "model.layers.17.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.17.self_attn.k_proj": { "stored_tensors": { "model.layers.17.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.17.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.17.self_attn.k_proj.trellis": { "shape": [ 96, 16, 80 ], "n_bytes": 245760, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.17.self_attn.v_proj": { "stored_tensors": { "model.layers.17.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.17.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.17.self_attn.v_proj.trellis": { "shape": [ 96, 16, 80 ], "n_bytes": 245760, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.17.self_attn.o_proj": { "stored_tensors": { "model.layers.17.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.17.post_attention_layernorm": { "stored_tensors": { "model.layers.17.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.17.mlp.up_proj": { "stored_tensors": { "model.layers.17.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.17.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.17.mlp.gate_proj": { "stored_tensors": { "model.layers.17.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.17.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.17.mlp.down_proj": { "stored_tensors": { "model.layers.17.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.17.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.17.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.18.input_layernorm": { "stored_tensors": { "model.layers.18.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.18.self_attn.q_proj": { "stored_tensors": { "model.layers.18.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.18.self_attn.k_proj": { "stored_tensors": { "model.layers.18.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.18.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.18.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.18.self_attn.v_proj": { "stored_tensors": { "model.layers.18.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.18.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.18.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.18.self_attn.o_proj": { "stored_tensors": { "model.layers.18.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.18.post_attention_layernorm": { "stored_tensors": { "model.layers.18.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.18.mlp.up_proj": { "stored_tensors": { "model.layers.18.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.18.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.18.mlp.gate_proj": { "stored_tensors": { "model.layers.18.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.18.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.18.mlp.down_proj": { "stored_tensors": { "model.layers.18.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.18.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.18.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.19.input_layernorm": { "stored_tensors": { "model.layers.19.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.19.self_attn.q_proj": { "stored_tensors": { "model.layers.19.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.19.self_attn.k_proj": { "stored_tensors": { "model.layers.19.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.19.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.19.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.19.self_attn.v_proj": { "stored_tensors": { "model.layers.19.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.19.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.19.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.19.self_attn.o_proj": { "stored_tensors": { "model.layers.19.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.19.post_attention_layernorm": { "stored_tensors": { "model.layers.19.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.19.mlp.up_proj": { "stored_tensors": { "model.layers.19.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.19.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.19.mlp.gate_proj": { "stored_tensors": { "model.layers.19.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.19.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.19.mlp.down_proj": { "stored_tensors": { "model.layers.19.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.19.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.19.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.20.input_layernorm": { "stored_tensors": { "model.layers.20.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.20.self_attn.q_proj": { "stored_tensors": { "model.layers.20.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.20.self_attn.k_proj": { "stored_tensors": { "model.layers.20.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.20.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.20.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.20.self_attn.v_proj": { "stored_tensors": { "model.layers.20.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.20.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.20.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.20.self_attn.o_proj": { "stored_tensors": { "model.layers.20.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.20.post_attention_layernorm": { "stored_tensors": { "model.layers.20.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.20.mlp.up_proj": { "stored_tensors": { "model.layers.20.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.20.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.20.mlp.gate_proj": { "stored_tensors": { "model.layers.20.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.20.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.20.mlp.down_proj": { "stored_tensors": { "model.layers.20.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.20.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.20.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.21.input_layernorm": { "stored_tensors": { "model.layers.21.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.21.self_attn.q_proj": { "stored_tensors": { "model.layers.21.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.21.self_attn.k_proj": { "stored_tensors": { "model.layers.21.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.21.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.21.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.21.self_attn.v_proj": { "stored_tensors": { "model.layers.21.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.21.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.21.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.21.self_attn.o_proj": { "stored_tensors": { "model.layers.21.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.21.post_attention_layernorm": { "stored_tensors": { "model.layers.21.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.21.mlp.up_proj": { "stored_tensors": { "model.layers.21.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.21.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.21.mlp.gate_proj": { "stored_tensors": { "model.layers.21.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.21.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.21.mlp.down_proj": { "stored_tensors": { "model.layers.21.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.21.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.21.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.22.input_layernorm": { "stored_tensors": { "model.layers.22.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.22.self_attn.q_proj": { "stored_tensors": { "model.layers.22.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.22.self_attn.k_proj": { "stored_tensors": { "model.layers.22.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.22.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.22.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.22.self_attn.v_proj": { "stored_tensors": { "model.layers.22.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.22.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.22.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.22.self_attn.o_proj": { "stored_tensors": { "model.layers.22.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.22.post_attention_layernorm": { "stored_tensors": { "model.layers.22.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.22.mlp.up_proj": { "stored_tensors": { "model.layers.22.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.22.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.22.mlp.gate_proj": { "stored_tensors": { "model.layers.22.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.22.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.22.mlp.down_proj": { "stored_tensors": { "model.layers.22.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.22.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.22.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.23.input_layernorm": { "stored_tensors": { "model.layers.23.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.23.self_attn.q_proj": { "stored_tensors": { "model.layers.23.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.23.self_attn.k_proj": { "stored_tensors": { "model.layers.23.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.23.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.23.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.23.self_attn.v_proj": { "stored_tensors": { "model.layers.23.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.23.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.23.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.23.self_attn.o_proj": { "stored_tensors": { "model.layers.23.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.23.post_attention_layernorm": { "stored_tensors": { "model.layers.23.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.23.mlp.up_proj": { "stored_tensors": { "model.layers.23.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.23.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.23.mlp.gate_proj": { "stored_tensors": { "model.layers.23.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.23.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.23.mlp.down_proj": { "stored_tensors": { "model.layers.23.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.23.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.23.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.24.input_layernorm": { "stored_tensors": { "model.layers.24.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.24.self_attn.q_proj": { "stored_tensors": { "model.layers.24.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.24.self_attn.k_proj": { "stored_tensors": { "model.layers.24.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.24.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.24.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.24.self_attn.v_proj": { "stored_tensors": { "model.layers.24.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.24.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.24.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.24.self_attn.o_proj": { "stored_tensors": { "model.layers.24.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.24.post_attention_layernorm": { "stored_tensors": { "model.layers.24.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.24.mlp.up_proj": { "stored_tensors": { "model.layers.24.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.24.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.24.mlp.gate_proj": { "stored_tensors": { "model.layers.24.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.24.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.24.mlp.down_proj": { "stored_tensors": { "model.layers.24.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.24.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.24.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.25.input_layernorm": { "stored_tensors": { "model.layers.25.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.25.self_attn.q_proj": { "stored_tensors": { "model.layers.25.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.25.self_attn.k_proj": { "stored_tensors": { "model.layers.25.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.25.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.25.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.25.self_attn.v_proj": { "stored_tensors": { "model.layers.25.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.25.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.25.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.25.self_attn.o_proj": { "stored_tensors": { "model.layers.25.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.25.post_attention_layernorm": { "stored_tensors": { "model.layers.25.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.25.mlp.up_proj": { "stored_tensors": { "model.layers.25.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.25.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.25.mlp.gate_proj": { "stored_tensors": { "model.layers.25.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.25.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.25.mlp.down_proj": { "stored_tensors": { "model.layers.25.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.25.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.25.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.26.input_layernorm": { "stored_tensors": { "model.layers.26.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.26.self_attn.q_proj": { "stored_tensors": { "model.layers.26.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.q_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.26.self_attn.k_proj": { "stored_tensors": { "model.layers.26.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.26.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.26.self_attn.k_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.26.self_attn.v_proj": { "stored_tensors": { "model.layers.26.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.26.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.26.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.26.self_attn.o_proj": { "stored_tensors": { "model.layers.26.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.self_attn.o_proj.trellis": { "shape": [ 96, 96, 80 ], "n_bytes": 1474560, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.26.post_attention_layernorm": { "stored_tensors": { "model.layers.26.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.26.mlp.up_proj": { "stored_tensors": { "model.layers.26.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.26.mlp.up_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.26.mlp.gate_proj": { "stored_tensors": { "model.layers.26.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.26.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.26.mlp.down_proj": { "stored_tensors": { "model.layers.26.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.26.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.26.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.27.input_layernorm": { "stored_tensors": { "model.layers.27.input_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.27.self_attn.q_proj": { "stored_tensors": { "model.layers.27.self_attn.q_proj.bias": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.q_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.q_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.q_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.27.self_attn.k_proj": { "stored_tensors": { "model.layers.27.self_attn.k_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.27.self_attn.k_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.k_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.27.self_attn.k_proj.trellis": { "shape": [ 96, 16, 64 ], "n_bytes": 196608, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.27.self_attn.v_proj": { "stored_tensors": { "model.layers.27.self_attn.v_proj.bias": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.27.self_attn.v_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.v_proj.svh": { "shape": [ 256 ], "n_bytes": 512, "dtype": "torch.float16" }, "model.layers.27.self_attn.v_proj.trellis": { "shape": [ 96, 16, 96 ], "n_bytes": 294912, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 }, "model.layers.27.self_attn.o_proj": { "stored_tensors": { "model.layers.27.self_attn.o_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.o_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.self_attn.o_proj.trellis": { "shape": [ 96, 96, 64 ], "n_bytes": 1179648, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.27.post_attention_layernorm": { "stored_tensors": { "model.layers.27.post_attention_layernorm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "model.layers.27.mlp.up_proj": { "stored_tensors": { "model.layers.27.mlp.up_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.mlp.up_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.27.mlp.up_proj.trellis": { "shape": [ 96, 560, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.layers.27.mlp.gate_proj": { "stored_tensors": { "model.layers.27.mlp.gate_proj.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.mlp.gate_proj.svh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.27.mlp.gate_proj.trellis": { "shape": [ 96, 560, 64 ], "n_bytes": 6881280, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 4 }, "model.layers.27.mlp.down_proj": { "stored_tensors": { "model.layers.27.mlp.down_proj.suh": { "shape": [ 8960 ], "n_bytes": 17920, "dtype": "torch.float16" }, "model.layers.27.mlp.down_proj.svh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "model.layers.27.mlp.down_proj.trellis": { "shape": [ 560, 96, 80 ], "n_bytes": 8601600, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 5 }, "model.norm": { "stored_tensors": { "model.norm.weight": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" } } }, "lm_head": { "stored_tensors": { "lm_head.suh": { "shape": [ 1536 ], "n_bytes": 3072, "dtype": "torch.float16" }, "lm_head.svh": { "shape": [ 151936 ], "n_bytes": 303872, "dtype": "torch.float16" }, "lm_head.trellis": { "shape": [ 96, 9496, 96 ], "n_bytes": 175030272, "dtype": "torch.int16" } }, "quant_format": "exl3", "bits_per_weight": 6 } } }