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OpenELM-270M-Instruct-128-FP16ComputePrecisoinv2.txt
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Model Description:
Model Name:
Author:
License:
Version:
Model Inputs:
Name: input_ids, Type: multiArrayType
Model Outputs:
Name: logits, Type: multiArrayType
Layers and their Precision:
Unique Layer Types in the Model:
weights.bin file loaded, size: 543388800 bytes
Weights Metadata:
Weight Name: model_transformer_token_embeddings_weight_to_fp16
- val: [[-1.8921e-02 -1.9897e-02 -3.8574e-02 ... -1.0498e-02 -3.0273e-02
-4.6631e-02]
[ 1.3351e-03 6.4850e-04 1.4067e-05 ... 1.8616e-03 8.2016e-04
7.1335e-04]
[ 2.5977e-01 -8.9722e-03 2.0630e-02 ... 1.6968e-02 -8.5449e-02
-7.1777e-02]
...
[-1.8066e-02 -3.4180e-02 6.3965e-02 ... 1.1597e-02 -4.7119e-02
4.1504e-03]
[ 7.8613e-02 -1.0315e-02 -1.0193e-02 ... -2.2217e-02 1.7471e-03
7.4463e-03]
[-5.2246e-02 1.2939e-02 7.8613e-02 ... 3.0029e-02 1.2939e-02
3.7354e-02]]
- Sparsity: 4.638671875e-07
- Unique Values: 4261
- Child Ops: [CoreMLOpMetaData(op_type='gather', name='inputs_embeds_cast_fp16_cast_int16', params_name_mapping=OrderedDict([('x', 'model_transformer_token_embeddings_weight_to_fp16')])), CoreMLOpMetaData(op_type='linear', name='linear_64_cast_fp16', params_name_mapping=OrderedDict([('weight', 'model_transformer_token_embeddings_weight_to_fp16'), ('bias', 'linear_64_bias_0_to_fp16')]))]
Weight Name: model_transformer_layers_0_attn_qkv_proj_weight_to_fp16
- val: [[-0.03882 -0.04785 -0.0327 ... 0.06152 -0.05005 -0.01251 ]
[-0.02722 -0.02563 -0.04932 ... -0.03064 0.0669 0.04712 ]
[ 0.02039 0.004486 -0.04858 ... 0.01276 0.02832 0.0747 ]
...
[ 0.0293 0.01819 -0.07715 ... 0.0698 -0.01892 -0.09424 ]
[-0.0586 -0.01398 -0.01428 ... -0.005005 0.05762 0.006927 ]
[ 0.031 -0.0004997 -0.05176 ... -0.001144 -0.007538 -0.05542 ]]
- Sparsity: 6.781684027777778e-07
- Unique Values: 3921
- Child Ops: [CoreMLOpMetaData(op_type='linear', name='linear_0_cast_fp16', params_name_mapping=OrderedDict([('weight', 'model_transformer_layers_0_attn_qkv_proj_weight_to_fp16')]))]
Weight Name: op_156_to_fp16
- val: [[[[ 1. 1. 1. ... 1. 1. 1. ]
[ 0.5405 0.732 0.846 ... 1. 1. 1. ]
[-0.4163 0.0709 0.4314 ... 1. 1. 1. ]
...
[ 0.7876 0.872 0.383 ... 0.9995 0.9995 1. ]
[ 0.944 0.9717 -0.1683 ... 0.9995 0.9995 1. ]
[ 0.2323 0.55 -0.668 ... 0.9995 0.9995 1. ]]]]
- Sparsity: 0.0
- Unique Values: 1532
- Child Ops: [CoreMLOpMetaData(op_type='mul', name='op_158_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_170_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_294_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_306_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_430_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_442_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_566_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_578_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_702_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_714_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_838_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_850_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_974_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_986_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1110_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1122_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1246_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1258_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1382_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1394_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1518_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1530_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1654_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1666_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1790_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1802_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1926_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1938_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2062_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2074_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2198_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2210_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_156_to_fp16')]))]
Weight Name: op_152_to_fp16
- val: [[[[ 0.000e+00 0.000e+00 0.000e+00 ... 0.000e+00 0.000e+00
0.000e+00]
[ 8.413e-01 6.816e-01 5.332e-01 ... 2.371e-04 1.779e-04
1.334e-04]
[ 9.092e-01 9.976e-01 9.023e-01 ... 4.742e-04 3.557e-04
2.668e-04]
...
[-6.162e-01 -4.890e-01 9.238e-01 ... 2.963e-02 2.223e-02
1.666e-02]
[ 3.301e-01 2.366e-01 9.858e-01 ... 2.988e-02 2.240e-02
1.680e-02]
[ 9.727e-01 8.354e-01 7.441e-01 ... 3.011e-02 2.258e-02
1.694e-02]]]]
- Sparsity: 0.0078125
- Unique Values: 2660
- Child Ops: [CoreMLOpMetaData(op_type='mul', name='op_164_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_176_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_300_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_312_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_436_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_448_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_572_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_584_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_708_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_720_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_844_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_856_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_980_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_992_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1116_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1128_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1252_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1264_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1388_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1400_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1524_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1536_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1660_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1672_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1796_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1808_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1932_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_1944_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2068_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2080_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2204_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')])), CoreMLOpMetaData(op_type='mul', name='op_2216_cast_fp16', params_name_mapping=OrderedDict([('y', 'op_152_to_fp16')]))]
Weight Name: causal_mask_3_to_fp16
- val: [[[[ -0. -inf -inf ... -inf -inf -inf]
[ -0. -0. -inf ... -inf -inf -inf]
[ -0. -0. -0. ... -inf -inf -inf]
...
[ -0. -0. -0. ... -0. -inf -inf]
[ -0. -0. -0. ... -0. -0. -inf]
[ -0. -0. -0. ... -0. -0. -0.]]]]
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