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Valid precision + execution provider combinations are: FP32 CPU, FP32 CUDA, FP16 CUDA, FP16 DML, FP16 TRT-RTX, BF16 CUDA, BF16 TRT-RTX, INT8 CPU, INT8 CUDA, INT8 WebGPU, INT4 CPU, INT4 CUDA, INT4 DML, INT4 WebGPU
Extra options: {'accuracy_level': '4', 'block_size': '32'}
GroupQueryAttention (GQA) is used in this model.
GroupQueryAttention (GQA) is used in this model.

Loading weights:   0%|          | 0/426 [00:00<?, ?it/s]
Loading weights: 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 426/426 [00:00<00:00, 21187.62it/s]
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[1] ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/ReduceSum ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Sub ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Sub/Cast ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Shape ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/1 ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/attn_mask_reformat/attn_mask_subgraph/Gather ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - Gather doesn't have const weight. Skip quantization.
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/attn_mask_reformat/attn_mask_subgraph/Gather with 4 bits ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Gather/Cast ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[248320, 1280] ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/embed_tokens/Reshape ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/embed_tokens/GatherBlockQuantized ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/input_layernorm/LayerNorm ...
2026-11-05 03:42:47,294 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:47,348 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,348 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.0/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.0/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/CausalConvWithState ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[2048, 2048, 4096] ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/split_qkv/Split ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 16, 128] ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 2048] ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/FLOAT/0.08838834764831843 ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/LinearAttention ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:47,370 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:47,399 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,399 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:47,399 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/gate_up_proj/Split ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/act_fn/Mul ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/Mul ...
2026-11-05 03:42:47,541 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/mlp/down_proj/MatMul ...
2026-11-05 03:42:47,586 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,586 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:47,586 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.1/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:47,632 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.1/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,632 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.1/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.1/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.1/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.1/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/CausalConvWithState ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/split_qkv/Split ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/LinearAttention ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:47,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.1/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:47,698 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.1/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,698 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:47,698 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.1/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.1/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/mlp/gate_up_proj/Split ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/mlp/act_fn/Mul ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/mlp/Mul ...
2026-11-05 03:42:47,836 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.1/mlp/down_proj/MatMul ...
2026-11-05 03:42:47,882 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.1/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,882 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:47,882 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.2/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:47,931 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.2/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,931 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.2/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.2/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.2/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.2/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/CausalConvWithState ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/split_qkv/Split ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/LinearAttention ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:47,953 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.2/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:47,974 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.2/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:47,974 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:47,974 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.2/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.2/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/mlp/gate_up_proj/Split ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/mlp/act_fn/Mul ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.2/mlp/Mul ...
2026-11-05 03:42:48,104 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.2/mlp/down_proj/MatMul ...
2026-11-05 03:42:48,147 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.2/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,147 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,147 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.3/attn/qkv_proj/MatMul ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.3/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[8192, 1024, 1024] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/qkv_proj/Split ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 16, 512] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_gate/Reshape ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[256, 256] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_gate/Split ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 4096] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_proj/Reshape ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/gate/Reshape ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 256] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 4096] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 1024] ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/GroupQueryAttention ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/gate/Sigmoid ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/attn/gate/Mul ...
2026-11-05 03:42:48,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.3/attn/o_proj/MatMul ...
2026-11-05 03:42:48,213 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.3/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,213 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,213 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.3/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.3/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/mlp/gate_up_proj/Split ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/mlp/act_fn/Mul ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.3/mlp/Mul ...
2026-11-05 03:42:48,349 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.3/mlp/down_proj/MatMul ...
2026-11-05 03:42:48,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.3/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.4/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:48,443 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.4/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,443 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.4/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.4/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.4/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.4/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/CausalConvWithState ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/split_qkv/Split ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/LinearAttention ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:48,473 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.4/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:48,494 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.4/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,494 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,494 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.4/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.4/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/mlp/gate_up_proj/Split ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/mlp/act_fn/Mul ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.4/mlp/Mul ...
2026-11-05 03:42:48,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.4/mlp/down_proj/MatMul ...
2026-11-05 03:42:48,686 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.4/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,686 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,686 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.5/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:48,733 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.5/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,733 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.5/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.5/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.5/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.5/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/CausalConvWithState ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/split_qkv/Split ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/LinearAttention ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:48,755 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.5/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:48,777 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.5/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,777 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,777 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.5/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.5/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/mlp/gate_up_proj/Split ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/mlp/act_fn/Mul ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.5/mlp/Mul ...
2026-11-05 03:42:48,935 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.5/mlp/down_proj/MatMul ...
2026-11-05 03:42:48,997 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.5/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:48,998 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:48,998 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.6/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:49,045 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.6/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,045 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.6/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.6/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.6/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.6/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/CausalConvWithState ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/split_qkv/Split ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/LinearAttention ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:49,068 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.6/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:49,090 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.6/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,090 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,090 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.6/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.6/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/mlp/gate_up_proj/Split ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/mlp/act_fn/Mul ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.6/mlp/Mul ...
2026-11-05 03:42:49,245 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.6/mlp/down_proj/MatMul ...
2026-11-05 03:42:49,299 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.6/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,299 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,299 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.7/attn/qkv_proj/MatMul ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.7/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/qkv_proj/Split ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_gate/Reshape ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_gate/Split ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_proj/Reshape ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/gate/Reshape ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/GroupQueryAttention ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/gate/Sigmoid ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/attn/gate/Mul ...
2026-11-05 03:42:49,379 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.7/attn/o_proj/MatMul ...
2026-11-05 03:42:49,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.7/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,398 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.7/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.7/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/mlp/gate_up_proj/Split ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/mlp/act_fn/Mul ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.7/mlp/Mul ...
2026-11-05 03:42:49,547 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.7/mlp/down_proj/MatMul ...
2026-11-05 03:42:49,620 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.7/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,620 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,620 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.8/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:49,668 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.8/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,668 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.8/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:49,691 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.8/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.8/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.8/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/CausalConvWithState ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/split_qkv/Split ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/LinearAttention ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:49,692 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.8/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:49,714 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.8/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,714 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,714 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.8/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.8/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/mlp/gate_up_proj/Split ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/mlp/act_fn/Mul ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.8/mlp/Mul ...
2026-11-05 03:42:49,867 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.8/mlp/down_proj/MatMul ...
2026-11-05 03:42:49,954 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.8/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,954 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:49,954 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.9/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:49,992 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.9/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:49,992 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.9/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:50,014 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.9/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.9/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.9/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/CausalConvWithState ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/split_qkv/Split ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/LinearAttention ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:50,015 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.9/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:50,039 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.9/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,039 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,039 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.9/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:50,207 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.9/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,208 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/mlp/gate_up_proj/Split ...
2026-11-05 03:42:50,208 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:50,208 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/mlp/act_fn/Mul ...
2026-11-05 03:42:50,208 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.9/mlp/Mul ...
2026-11-05 03:42:50,208 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.9/mlp/down_proj/MatMul ...
2026-11-05 03:42:50,270 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.9/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,270 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,270 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.10/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:50,315 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.10/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,315 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.10/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.10/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.10/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.10/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/CausalConvWithState ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/split_qkv/Split ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/LinearAttention ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:50,338 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.10/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:50,360 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.10/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,360 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,360 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.10/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.10/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/mlp/gate_up_proj/Split ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/mlp/act_fn/Mul ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.10/mlp/Mul ...
2026-11-05 03:42:50,520 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.10/mlp/down_proj/MatMul ...
2026-11-05 03:42:50,592 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.10/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,592 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,592 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.11/attn/qkv_proj/MatMul ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.11/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/qkv_proj/Split ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_gate/Reshape ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_gate/Split ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_proj/Reshape ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/gate/Reshape ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/GroupQueryAttention ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/gate/Sigmoid ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/attn/gate/Mul ...
2026-11-05 03:42:50,669 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.11/attn/o_proj/MatMul ...
2026-11-05 03:42:50,690 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.11/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,690 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,690 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.11/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.11/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/mlp/gate_up_proj/Split ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/mlp/act_fn/Mul ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.11/mlp/Mul ...
2026-11-05 03:42:50,846 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.11/mlp/down_proj/MatMul ...
2026-11-05 03:42:50,915 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.11/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,915 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:50,915 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.12/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:50,976 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.12/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,976 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.12/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.12/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.12/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.12/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/CausalConvWithState ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/split_qkv/Split ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:50,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/LinearAttention ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:51,000 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.12/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:51,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.12/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.12/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.12/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/mlp/gate_up_proj/Split ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/mlp/act_fn/Mul ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.12/mlp/Mul ...
2026-11-05 03:42:51,199 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.12/mlp/down_proj/MatMul ...
2026-11-05 03:42:51,262 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.12/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,262 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,262 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.13/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:51,314 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.13/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,314 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.13/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.13/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.13/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.13/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/CausalConvWithState ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/split_qkv/Split ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/LinearAttention ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:51,336 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.13/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:51,363 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.13/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,364 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,364 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.13/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.13/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/mlp/gate_up_proj/Split ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/mlp/act_fn/Mul ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.13/mlp/Mul ...
2026-11-05 03:42:51,536 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.13/mlp/down_proj/MatMul ...
2026-11-05 03:42:51,614 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.13/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,614 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,614 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.14/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:51,664 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.14/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,664 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.14/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.14/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.14/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.14/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/CausalConvWithState ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/split_qkv/Split ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/LinearAttention ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:51,696 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.14/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:51,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.14/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.14/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.14/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/mlp/gate_up_proj/Split ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/mlp/act_fn/Mul ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.14/mlp/Mul ...
2026-11-05 03:42:51,885 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.14/mlp/down_proj/MatMul ...
2026-11-05 03:42:51,947 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.14/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:51,947 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:51,947 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.15/attn/qkv_proj/MatMul ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.15/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/qkv_proj/Split ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_gate/Reshape ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_gate/Split ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_proj/Reshape ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/gate/Reshape ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/GroupQueryAttention ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/gate/Sigmoid ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/attn/gate/Mul ...
2026-11-05 03:42:52,009 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.15/attn/o_proj/MatMul ...
2026-11-05 03:42:52,032 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.15/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,032 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,032 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.15/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.15/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/mlp/gate_up_proj/Split ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/mlp/act_fn/Mul ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.15/mlp/Mul ...
2026-11-05 03:42:52,194 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.15/mlp/down_proj/MatMul ...
2026-11-05 03:42:52,264 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.15/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,264 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,264 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.16/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:52,308 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.16/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,308 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.16/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.16/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.16/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.16/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/CausalConvWithState ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/split_qkv/Split ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/LinearAttention ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:52,331 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.16/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:52,352 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.16/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,352 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,352 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.16/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.16/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/mlp/gate_up_proj/Split ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/mlp/act_fn/Mul ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.16/mlp/Mul ...
2026-11-05 03:42:52,506 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.16/mlp/down_proj/MatMul ...
2026-11-05 03:42:52,573 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.16/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,573 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,573 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.17/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:52,620 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.17/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,621 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.17/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:52,642 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.17/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.17/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.17/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/CausalConvWithState ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/split_qkv/Split ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/LinearAttention ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:52,643 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.17/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:52,664 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.17/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,664 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,664 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.17/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.17/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/mlp/gate_up_proj/Split ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/mlp/act_fn/Mul ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.17/mlp/Mul ...
2026-11-05 03:42:52,813 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.17/mlp/down_proj/MatMul ...
2026-11-05 03:42:52,862 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.17/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,863 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,863 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.18/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:52,907 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.18/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,907 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.18/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.18/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.18/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.18/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/CausalConvWithState ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/split_qkv/Split ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/LinearAttention ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:52,921 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.18/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:52,937 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.18/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:52,937 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:52,937 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.18/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.18/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/mlp/gate_up_proj/Split ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/mlp/act_fn/Mul ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.18/mlp/Mul ...
2026-11-05 03:42:53,091 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.18/mlp/down_proj/MatMul ...
2026-11-05 03:42:53,143 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.18/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,143 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,143 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.19/attn/qkv_proj/MatMul ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.19/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/qkv_proj/Split ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_gate/Reshape ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_gate/Split ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_proj/Reshape ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/gate/Reshape ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/GroupQueryAttention ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/gate/Sigmoid ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/attn/gate/Mul ...
2026-11-05 03:42:53,203 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.19/attn/o_proj/MatMul ...
2026-11-05 03:42:53,227 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.19/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,227 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,227 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.19/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:53,371 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.19/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,371 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/mlp/gate_up_proj/Split ...
2026-11-05 03:42:53,371 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:53,372 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/mlp/act_fn/Mul ...
2026-11-05 03:42:53,372 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.19/mlp/Mul ...
2026-11-05 03:42:53,372 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.19/mlp/down_proj/MatMul ...
2026-11-05 03:42:53,458 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.19/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,459 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,459 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.20/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:53,503 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.20/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,503 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.20/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.20/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.20/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.20/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/CausalConvWithState ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/split_qkv/Split ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/LinearAttention ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:53,526 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.20/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:53,561 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.20/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,561 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,561 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.20/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.20/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/mlp/gate_up_proj/Split ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/mlp/act_fn/Mul ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.20/mlp/Mul ...
2026-11-05 03:42:53,704 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.20/mlp/down_proj/MatMul ...
2026-11-05 03:42:53,754 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.20/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,754 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,754 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.21/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:53,808 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.21/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,808 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.21/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.21/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.21/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.21/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/CausalConvWithState ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/split_qkv/Split ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/LinearAttention ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:53,830 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.21/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:53,853 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.21/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:53,853 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:53,853 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.21/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.21/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/mlp/gate_up_proj/Split ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/mlp/act_fn/Mul ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.21/mlp/Mul ...
2026-11-05 03:42:54,013 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.21/mlp/down_proj/MatMul ...
2026-11-05 03:42:54,066 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.21/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,066 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,066 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.22/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:54,108 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.22/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,108 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.22/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.22/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.22/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.22/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/CausalConvWithState ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/split_qkv/Split ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/LinearAttention ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:54,131 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.22/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:54,154 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.22/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,154 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,154 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.22/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.22/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/mlp/gate_up_proj/Split ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/mlp/act_fn/Mul ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.22/mlp/Mul ...
2026-11-05 03:42:54,283 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.22/mlp/down_proj/MatMul ...
2026-11-05 03:42:54,326 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.22/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,326 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,326 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.23/attn/qkv_proj/MatMul ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.23/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/qkv_proj/Split ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_gate/Reshape ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_gate/Split ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_proj/Reshape ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/gate/Reshape ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/GroupQueryAttention ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/gate/Sigmoid ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/attn/gate/Mul ...
2026-11-05 03:42:54,383 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.23/attn/o_proj/MatMul ...
2026-11-05 03:42:54,397 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.23/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,397 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,397 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.23/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.23/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/mlp/gate_up_proj/Split ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/mlp/act_fn/Mul ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.23/mlp/Mul ...
2026-11-05 03:42:54,524 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.23/mlp/down_proj/MatMul ...
2026-11-05 03:42:54,568 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.23/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,568 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,568 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.24/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:54,617 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.24/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,617 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.24/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.24/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.24/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.24/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/CausalConvWithState ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/split_qkv/Split ...
2026-11-05 03:42:54,639 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/LinearAttention ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:54,640 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.24/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:54,661 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.24/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,661 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,661 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.24/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.24/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/mlp/gate_up_proj/Split ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/mlp/act_fn/Mul ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.24/mlp/Mul ...
2026-11-05 03:42:54,802 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.24/mlp/down_proj/MatMul ...
2026-11-05 03:42:54,852 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.24/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,852 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,852 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.25/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:54,896 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.25/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,896 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.25/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.25/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.25/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.25/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/CausalConvWithState ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/split_qkv/Split ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/LinearAttention ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:54,916 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.25/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:54,938 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.25/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:54,938 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:54,938 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.25/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.25/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/mlp/gate_up_proj/Split ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/mlp/act_fn/Mul ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.25/mlp/Mul ...
2026-11-05 03:42:55,086 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.25/mlp/down_proj/MatMul ...
2026-11-05 03:42:55,140 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.25/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,140 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,140 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.26/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:55,190 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.26/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,190 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.26/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.26/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.26/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.26/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/CausalConvWithState ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/split_qkv/Split ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/LinearAttention ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:55,212 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.26/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:55,234 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.26/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,234 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,234 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.26/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.26/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/mlp/gate_up_proj/Split ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/mlp/act_fn/Mul ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.26/mlp/Mul ...
2026-11-05 03:42:55,377 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.26/mlp/down_proj/MatMul ...
2026-11-05 03:42:55,422 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.26/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,422 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,422 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.27/attn/qkv_proj/MatMul ...
2026-11-05 03:42:55,481 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.27/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/qkv_proj/Split ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_gate/Reshape ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_gate/Split ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_proj/Reshape ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/gate/Reshape ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/GroupQueryAttention ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/gate/Sigmoid ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/attn/gate/Mul ...
2026-11-05 03:42:55,482 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.27/attn/o_proj/MatMul ...
2026-11-05 03:42:55,505 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.27/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,505 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,505 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.27/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:55,645 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.27/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,646 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/mlp/gate_up_proj/Split ...
2026-11-05 03:42:55,646 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:55,646 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/mlp/act_fn/Mul ...
2026-11-05 03:42:55,646 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.27/mlp/Mul ...
2026-11-05 03:42:55,646 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.27/mlp/down_proj/MatMul ...
2026-11-05 03:42:55,691 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.27/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,691 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,691 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.28/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:55,748 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.28/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,748 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.28/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.28/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.28/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.28/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/CausalConvWithState ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/split_qkv/Split ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/LinearAttention ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:55,775 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.28/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:55,792 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.28/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,792 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,792 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.28/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.28/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/mlp/gate_up_proj/Split ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/mlp/act_fn/Mul ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.28/mlp/Mul ...
2026-11-05 03:42:55,946 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.28/mlp/down_proj/MatMul ...
2026-11-05 03:42:55,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.28/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:55,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:55,999 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.29/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:56,048 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.29/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,048 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.29/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:56,063 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.29/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.29/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.29/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/CausalConvWithState ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/split_qkv/Split ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/LinearAttention ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:56,064 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.29/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:56,080 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.29/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,080 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,080 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.29/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.29/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/mlp/gate_up_proj/Split ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/mlp/act_fn/Mul ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.29/mlp/Mul ...
2026-11-05 03:42:56,243 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.29/mlp/down_proj/MatMul ...
2026-11-05 03:42:56,356 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.29/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,356 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,357 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.30/linear_attn/qkv_proj/MatMul ...
2026-11-05 03:42:56,404 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.30/linear_attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,404 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.30/linear_attn/z_proj/MatMul ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.30/linear_attn/z_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.30/linear_attn/b_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - exclude to quantize /model/layers.30/linear_attn/a_proj/MatMul as specified by nodes_to_exclude...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/qkv_proj/Transpose ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/CausalConvWithState ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/conv_out/Transpose ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/split_qkv/Split ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/q_l2norm/flat/Reshape ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/q_l2norm/LpNormalization ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/q_l2norm/unflat/Reshape ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/k_l2norm/flat/Reshape ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/k_l2norm/LpNormalization ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/k_l2norm/unflat/Reshape ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/q_scaled/Mul ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/LinearAttentionGate ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/LinearAttention ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/linear_attn/GatedRMSNorm ...
2026-11-05 03:42:56,426 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.30/linear_attn/out_proj/MatMul ...
2026-11-05 03:42:56,449 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.30/linear_attn/out_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,449 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,449 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.30/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.30/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/mlp/gate_up_proj/Split ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/mlp/act_fn/Mul ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.30/mlp/Mul ...
2026-11-05 03:42:56,602 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.30/mlp/down_proj/MatMul ...
2026-11-05 03:42:56,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.30/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/input_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,654 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.31/attn/qkv_proj/MatMul ...
2026-11-05 03:42:56,717 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.31/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,717 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/qkv_proj/Split ...
2026-11-05 03:42:56,717 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_gate/Reshape ...
2026-11-05 03:42:56,717 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_gate/Split ...
2026-11-05 03:42:56,717 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_proj/Reshape ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/gate/Reshape ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_norm/Reshape_1 ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_norm/Reshape_2 ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/k_norm/Reshape_1 ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/k_norm/Reshape_2 ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/GroupQueryAttention ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/gate/Sigmoid ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/attn/gate/Mul ...
2026-11-05 03:42:56,718 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.31/attn/o_proj/MatMul ...
2026-11-05 03:42:56,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.31/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,731 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.31/mlp/gate_up_proj/MatMul ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.31/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/mlp/gate_up_proj/Split ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/mlp/act_fn/Sigmoid ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/mlp/act_fn/Mul ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.31/mlp/Mul ...
2026-11-05 03:42:56,856 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.31/mlp/down_proj/MatMul ...
2026-11-05 03:42:56,906 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.31/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:42:56,906 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.32/final_norm_layernorm/SkipLayerNorm ...
2026-11-05 03:42:56,906 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /lm_head/MatMul ...
2026-11-05 03:42:59,292 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /lm_head/MatMul with 4 bits ...
Reading embedding layer
Reading layer 0
Reading layer 1
Reading layer 2
Reading layer 3
Reading layer 4
Reading layer 5
Reading layer 6
Reading layer 7
Reading layer 8
Reading layer 9
Reading layer 10
Reading layer 11
Reading layer 12
Reading layer 13
Reading layer 14
Reading layer 15
Reading layer 16
Reading layer 17
Reading layer 18
Reading layer 19
Reading layer 20
Reading layer 21
Reading layer 22
Reading layer 23
Reading layer 24
Reading layer 25
Reading layer 26
Reading layer 27
Reading layer 28
Reading layer 29
Reading layer 30
Reading layer 31
Reading final norm
Reading LM head
Building MTP (multi-token prediction) head -> mtp.onnx
Saving ONNX model in /home/anon/knowline/onnx/model-cpu

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Saving model.layers.8.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 328/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 329/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 330/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.8.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 331/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 332/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 333/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰    | 334/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.8.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 335/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.8.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 336/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.8.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 337/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 338/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 339/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 340/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.9.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ    | 341/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 342/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 343/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 344/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.9.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 345/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.9.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 346/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.9.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 347/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 348/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 349/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 350/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.10.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 351/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 352/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 353/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 354/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.10.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž   | 355/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.10.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 356/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.10.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 357/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.11.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 358/557 [00:00<00:00, 2292.53it/s]  
Saving model.layers.11.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 359/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.11.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 360/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.11.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 361/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.11.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 362/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.11.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 363/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.11.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 364/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.11.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 365/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 366/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 367/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 368/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.12.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ   | 369/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 370/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 371/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 372/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.12.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 373/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.12.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 374/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.12.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 375/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 376/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 377/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 378/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.13.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 379/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 380/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 381/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š   | 382/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.13.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 383/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.13.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 384/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.13.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 385/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 386/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 387/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 388/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.14.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰   | 389/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 390/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 391/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 392/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.14.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 393/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.14.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 394/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.14.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 395/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.15.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   | 396/557 [00:00<00:00, 2292.53it/s]  
Saving model.layers.15.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 397/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.15.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 398/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.15.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 399/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.15.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 400/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.15.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 401/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.15.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 402/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.15.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 403/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 404/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 405/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 406/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.16.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 407/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 408/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 409/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž  | 410/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.16.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 411/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.16.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 412/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.16.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 413/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 414/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 415/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 416/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.17.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 417/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 418/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 419/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 420/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.17.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 421/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.17.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 422/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.17.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 423/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 424/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 425/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 426/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.18.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 427/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 428/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 429/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 430/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.18.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 431/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.18.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 432/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.18.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 433/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.19.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 434/557 [00:00<00:00, 2292.53it/s]  
Saving model.layers.19.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 435/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.19.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 436/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.19.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 437/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.19.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 438/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.19.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 439/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.19.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 440/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.19.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 441/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 442/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 443/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 444/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.20.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰  | 445/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 446/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 447/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 448/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.20.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 449/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.20.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 450/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.20.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 451/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 452/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 453/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 454/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.21.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 455/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 456/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 457/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 458/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.21.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 459/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.21.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 460/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.21.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 461/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 462/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 463/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 464/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.22.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 465/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 466/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 467/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 468/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.22.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 469/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.22.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 470/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.22.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 471/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.23.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 472/557 [00:00<00:00, 2292.53it/s]  
Saving model.layers.23.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 473/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.23.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 474/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.23.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 475/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.23.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 476/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.23.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 477/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.23.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 478/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.23.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 479/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 480/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 481/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 482/557 [00:00<00:00, 2292.53it/s]    
Saving model.layers.24.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 483/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 484/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 485/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 486/557 [00:00<00:00, 2292.53it/s]     
Saving model.layers.24.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 487/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.24.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 488/557 [00:00<00:00, 2292.53it/s]      
Saving model.layers.24.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 489/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.25.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 490/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.25.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 491/557 [00:00<00:00, 2292.53it/s]
Saving model.layers.25.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 492/557 [00:00<00:00, 608.59it/s] 
Saving model.layers.25.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 492/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.25.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 493/557 [00:00<00:00, 608.59it/s]
Saving model.layers.25.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 494/557 [00:00<00:00, 608.59it/s]
Saving model.layers.25.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 495/557 [00:00<00:00, 608.59it/s]
Saving model.layers.25.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 496/557 [00:00<00:00, 608.59it/s]     
Saving model.layers.25.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 497/557 [00:00<00:00, 608.59it/s]
Saving model.layers.25.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 498/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.25.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 499/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 500/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 501/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 502/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.26.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 503/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 504/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 505/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 506/557 [00:00<00:00, 608.59it/s]     
Saving model.layers.26.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 507/557 [00:00<00:00, 608.59it/s]
Saving model.layers.26.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 508/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.26.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 509/557 [00:00<00:00, 608.59it/s]
Saving model.layers.27.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 510/557 [00:00<00:00, 608.59it/s]  
Saving model.layers.27.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 511/557 [00:00<00:00, 608.59it/s]
Saving model.layers.27.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 512/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.27.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 513/557 [00:00<00:00, 608.59it/s]
Saving model.layers.27.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 514/557 [00:00<00:00, 608.59it/s]
Saving model.layers.27.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 515/557 [00:00<00:00, 608.59it/s]
Saving model.layers.27.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 516/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.27.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 517/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 518/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 519/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 520/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.28.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 521/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 522/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 523/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 524/557 [00:00<00:00, 608.59it/s]     
Saving model.layers.28.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 525/557 [00:00<00:00, 608.59it/s]
Saving model.layers.28.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 526/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.28.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 527/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 528/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 529/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 530/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.29.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 531/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 532/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 533/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 534/557 [00:00<00:00, 608.59it/s]     
Saving model.layers.29.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 535/557 [00:00<00:00, 608.59it/s]
Saving model.layers.29.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 536/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.29.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 537/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.linear_attn.qkv_proj.MatMul.weight_Q4 (u8, [8192,80,16]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 538/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.linear_attn.qkv_proj.MatMul.weight_scales (f32, [8192,80]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 539/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.linear_attn.z_proj.MatMul.weight_Q4 (u8, [4096,80,16]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 540/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.30.linear_attn.z_proj.MatMul.weight_scales (f32, [4096,80]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 541/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.linear_attn.out_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 542/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.linear_attn.out_proj.MatMul.weight_scales (f32, [2560,128]):  97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 543/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 544/557 [00:00<00:00, 608.59it/s]     
Saving model.layers.30.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 545/557 [00:00<00:00, 608.59it/s]
Saving model.layers.30.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 546/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.30.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 547/557 [00:00<00:00, 608.59it/s]
Saving model.layers.31.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  98%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 548/557 [00:00<00:00, 608.59it/s]  
Saving model.layers.31.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 549/557 [00:00<00:00, 608.59it/s]
Saving model.layers.31.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š| 550/557 [00:00<00:00, 608.59it/s]    
Saving model.layers.31.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 551/557 [00:00<00:00, 608.59it/s]
Saving model.layers.31.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 552/557 [00:00<00:00, 608.59it/s]
Saving model.layers.31.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 553/557 [00:00<00:00, 608.59it/s]
Saving model.layers.31.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  99%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 554/557 [00:00<00:00, 608.59it/s]      
Saving model.layers.31.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 555/557 [00:00<00:00, 608.59it/s]
Saving lm_head.MatMul.weight_Q4 (u8, [248320,80,16]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰| 556/557 [00:00<00:00, 608.59it/s]                       
Saving lm_head.MatMul.weight_scales (f32, [248320,80]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 557/557 [00:01<00:00, 608.59it/s]
Saving lm_head.MatMul.weight_scales (f32, [248320,80]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 557/557 [00:01<00:00, 503.27it/s]
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[1] ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/ReduceSum ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Sub ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Sub/Cast ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Shape ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/1 ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/attn_mask_reformat/attn_mask_subgraph/Gather ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - Gather doesn't have const weight. Skip quantization.
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/attn_mask_reformat/attn_mask_subgraph/Gather with 4 bits ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/attn_mask_reformat/attn_mask_subgraph/Gather/Cast ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[248320, 1280] ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/mtp/embed_tokens/Reshape ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/mtp/embed_tokens/GatherBlockQuantized ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/mtp/pre_fc_norm_embedding ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/mtp/pre_fc_norm_hidden ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/mtp/fc/Concat ...
2026-11-05 03:43:03,790 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/mtp/fc/MatMul ...
2026-11-05 03:43:03,823 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/mtp/fc/MatMul with 4 bits ...
2026-11-05 03:43:03,823 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/input_layernorm/LayerNorm ...
2026-11-05 03:43:03,823 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/attn/qkv_proj/MatMul ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/attn/qkv_proj/MatMul with 4 bits ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[8192, 1024, 1024] ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/qkv_proj/Split ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 16, 512] ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_gate/Reshape ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[256, 256] ...
2026-11-05 03:43:03,870 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_gate/Split ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, 0, 4096] ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_proj/Reshape ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/gate/Reshape ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 256] ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_norm/Reshape_1 ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_norm/SimplifiedLayerNormalization ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 4096] ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_norm/Reshape_2 ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/k_norm/Reshape_1 ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/k_norm/SimplifiedLayerNormalization ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/constant_nodes/INT64/[0, -1, 1024] ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/k_norm/Reshape_2 ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/q_rotary/MRotaryEmbedding ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/k_rotary/MRotaryEmbedding ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/GroupQueryAttention ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/gate/Sigmoid ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/attn/gate/Mul ...
2026-11-05 03:43:03,871 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/attn/o_proj/MatMul ...
2026-11-05 03:43:03,896 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/attn/o_proj/MatMul with 4 bits ...
2026-11-05 03:43:03,896 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/post_attention_layernorm/SkipLayerNorm ...
2026-11-05 03:43:03,896 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/mlp/gate_up_proj/MatMul ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/mlp/gate_up_proj/MatMul with 4 bits ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/gate_up_proj/Split ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/act_fn/Sigmoid ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/act_fn/Mul ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.0/mlp/Mul ...
2026-11-05 03:43:04,022 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /model/layers.0/mlp/down_proj/MatMul ...
2026-11-05 03:43:04,070 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /model/layers.0/mlp/down_proj/MatMul with 4 bits ...
2026-11-05 03:43:04,070 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - skip to quantize /model/layers.1/final_norm_layernorm/SkipLayerNorm ...
2026-11-05 03:43:04,070 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - start to quantize /lm_head/MatMul ...
2026-11-05 03:43:06,450 onnxruntime.quantization.matmul_nbits_quantizer [INFO] - complete quantization of /lm_head/MatMul with 4 bits ...
Saving ONNX model in /home/anon/knowline/onnx/model-cpu

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Saving model.mtp.pre_fc_norm_embedding.weight (f32, [2560]):   5%|▍         | 1/21 [00:00<00:00, 735.46it/s]
Saving model.mtp.pre_fc_norm_hidden.weight (f32, [2560]):  10%|β–‰         | 2/21 [00:00<00:00, 1372.71it/s]  
Saving model.layers.0.input_layernorm.weight (f32, [2560]):  14%|β–ˆβ–        | 3/21 [00:00<00:00, 1997.92it/s]
Saving model.layers.0.attn.q_norm.layernorm.weight (f32, [256]):  19%|β–ˆβ–‰        | 4/21 [00:00<00:00, 2603.94it/s]
Saving model.layers.0.attn.k_norm.layernorm.weight (f32, [256]):  24%|β–ˆβ–ˆβ–       | 5/21 [00:00<00:00, 3199.80it/s]
Saving cos_cache (f32, [262144,32]):  29%|β–ˆβ–ˆβ–Š       | 6/21 [00:00<00:00, 3772.99it/s]                            
Saving sin_cache (f32, [262144,32]):  33%|β–ˆβ–ˆβ–ˆβ–Ž      | 7/21 [00:00<00:00, 1170.66it/s]
Saving model.layers.0.post_attention_layernorm.weight (f32, [2560]):  38%|β–ˆβ–ˆβ–ˆβ–Š      | 8/21 [00:00<00:00, 758.81it/s]
Saving model.layers.1.final_norm_layernorm.weight (f32, [2560]):  43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž     | 9/21 [00:00<00:00, 845.23it/s]    
Saving model.mtp.fc.MatMul.weight_Q4 (u8, [2560,160,16]):  48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š     | 10/21 [00:00<00:00, 935.04it/s]      
Saving model.mtp.fc.MatMul.weight_scales (f32, [2560,160]):  52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–    | 11/21 [00:00<00:00, 953.27it/s]
Saving model.layers.0.attn.qkv_proj.MatMul.weight_Q4 (u8, [10240,80,16]):  57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹    | 12/21 [00:00<00:00, 1019.48it/s]
Saving model.layers.0.attn.qkv_proj.MatMul.weight_scales (f32, [10240,80]):  62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–   | 13/21 [00:00<00:00, 961.08it/s]
Saving model.layers.0.attn.o_proj.MatMul.weight_Q4 (u8, [2560,128,16]):  67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹   | 14/21 [00:00<00:00, 986.23it/s]    
Saving model.layers.0.attn.o_proj.MatMul.weight_scales (f32, [2560,128]):  71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–  | 15/21 [00:00<00:00, 1003.15it/s]
Saving model.layers.0.mlp.gate_up_proj.MatMul.input_1_Q4 (u8, [18432,80,16]):  76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ  | 16/21 [00:00<00:00, 1055.02it/s]
Saving model.layers.0.mlp.gate_up_proj.MatMul.input_1_scales (f32, [18432,80]):  81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 17/21 [00:00<00:00, 932.48it/s]
Saving model.layers.0.mlp.down_proj.MatMul.weight_Q4 (u8, [2560,288,16]):  86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 18/21 [00:00<00:00, 946.45it/s]      
Saving model.layers.0.mlp.down_proj.MatMul.weight_scales (f32, [2560,288]):  90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 19/21 [00:00<00:00, 915.77it/s]
Saving lm_head.MatMul.weight_Q4 (u8, [248320,80,16]):  95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ| 20/21 [00:00<00:00, 945.72it/s]                      
Saving lm_head.MatMul.weight_Q4 (u8, [248320,80,16]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 21/21 [00:00<00:00, 131.28it/s]
Saving lm_head.MatMul.weight_scales (f32, [248320,80]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 21/21 [00:00<00:00, 131.28it/s]
Saving lm_head.MatMul.weight_scales (f32, [248320,80]): 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 21/21 [00:00<00:00, 114.16it/s]
Configured 397 MB of runtime initializer sharing; /home/anon/knowline/onnx/model-cpu/mtp.onnx.data remains self-contained.
Warning: could not read generation_config.json (/home/anon/LLM/KnowLine-4B-Gen5.5 does not appear to have a file named generation_config.json. Checkout 'https://huggingface.co//home/anon/LLM/KnowLine-4B-Gen5.5/tree/main' for available files.). Falling back to config.json.
Adding the tokenizer's end-of-turn token <|im_end|> (id 248046) to eos_token_id from the model configuration: 248044.
Saving GenAI config in /home/anon/knowline/onnx/model-cpu
Added 'mtp' section to genai_config.json
Saving processing files in /home/anon/knowline/onnx/model-cpu for GenAI
EXIT:0