Upload openvino_text_embeddings_model.xml with huggingface_hub
Browse files
openvino_text_embeddings_model.xml
ADDED
|
@@ -0,0 +1,222 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="Model54" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="input" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="input">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="self.weight" type="Const" version="opset1">
|
| 14 |
+
<data element_type="u8" shape="49280, 576" offset="0" size="28385280" />
|
| 15 |
+
<output>
|
| 16 |
+
<port id="0" precision="U8">
|
| 17 |
+
<dim>49280</dim>
|
| 18 |
+
<dim>576</dim>
|
| 19 |
+
</port>
|
| 20 |
+
</output>
|
| 21 |
+
</layer>
|
| 22 |
+
<layer id="2" name="Convert_148544" type="Convert" version="opset1">
|
| 23 |
+
<data destination_type="f16" />
|
| 24 |
+
<input>
|
| 25 |
+
<port id="0" precision="U8">
|
| 26 |
+
<dim>49280</dim>
|
| 27 |
+
<dim>576</dim>
|
| 28 |
+
</port>
|
| 29 |
+
</input>
|
| 30 |
+
<output>
|
| 31 |
+
<port id="1" precision="FP16">
|
| 32 |
+
<dim>49280</dim>
|
| 33 |
+
<dim>576</dim>
|
| 34 |
+
</port>
|
| 35 |
+
</output>
|
| 36 |
+
</layer>
|
| 37 |
+
<layer id="3" name="self.weight/zero_point" type="Const" version="opset1">
|
| 38 |
+
<data element_type="u8" shape="49280, 1" offset="28385280" size="49280" />
|
| 39 |
+
<output>
|
| 40 |
+
<port id="0" precision="U8">
|
| 41 |
+
<dim>49280</dim>
|
| 42 |
+
<dim>1</dim>
|
| 43 |
+
</port>
|
| 44 |
+
</output>
|
| 45 |
+
</layer>
|
| 46 |
+
<layer id="4" name="Convert_148547" type="Convert" version="opset1">
|
| 47 |
+
<data destination_type="f16" />
|
| 48 |
+
<input>
|
| 49 |
+
<port id="0" precision="U8">
|
| 50 |
+
<dim>49280</dim>
|
| 51 |
+
<dim>1</dim>
|
| 52 |
+
</port>
|
| 53 |
+
</input>
|
| 54 |
+
<output>
|
| 55 |
+
<port id="1" precision="FP16">
|
| 56 |
+
<dim>49280</dim>
|
| 57 |
+
<dim>1</dim>
|
| 58 |
+
</port>
|
| 59 |
+
</output>
|
| 60 |
+
</layer>
|
| 61 |
+
<layer id="5" name="self.weight/zero_point/subtract" type="Subtract" version="opset1">
|
| 62 |
+
<data auto_broadcast="numpy" />
|
| 63 |
+
<input>
|
| 64 |
+
<port id="0" precision="FP16">
|
| 65 |
+
<dim>49280</dim>
|
| 66 |
+
<dim>576</dim>
|
| 67 |
+
</port>
|
| 68 |
+
<port id="1" precision="FP16">
|
| 69 |
+
<dim>49280</dim>
|
| 70 |
+
<dim>1</dim>
|
| 71 |
+
</port>
|
| 72 |
+
</input>
|
| 73 |
+
<output>
|
| 74 |
+
<port id="2" precision="FP16">
|
| 75 |
+
<dim>49280</dim>
|
| 76 |
+
<dim>576</dim>
|
| 77 |
+
</port>
|
| 78 |
+
</output>
|
| 79 |
+
</layer>
|
| 80 |
+
<layer id="6" name="self.weight/scale" type="Const" version="opset1">
|
| 81 |
+
<data element_type="f16" shape="49280, 1" offset="28434560" size="98560" />
|
| 82 |
+
<output>
|
| 83 |
+
<port id="0" precision="FP16">
|
| 84 |
+
<dim>49280</dim>
|
| 85 |
+
<dim>1</dim>
|
| 86 |
+
</port>
|
| 87 |
+
</output>
|
| 88 |
+
</layer>
|
| 89 |
+
<layer id="7" name="self.weight/fq_weights_0" type="Multiply" version="opset1">
|
| 90 |
+
<data auto_broadcast="numpy" />
|
| 91 |
+
<input>
|
| 92 |
+
<port id="0" precision="FP16">
|
| 93 |
+
<dim>49280</dim>
|
| 94 |
+
<dim>576</dim>
|
| 95 |
+
</port>
|
| 96 |
+
<port id="1" precision="FP16">
|
| 97 |
+
<dim>49280</dim>
|
| 98 |
+
<dim>1</dim>
|
| 99 |
+
</port>
|
| 100 |
+
</input>
|
| 101 |
+
<output>
|
| 102 |
+
<port id="2" precision="FP16">
|
| 103 |
+
<dim>49280</dim>
|
| 104 |
+
<dim>576</dim>
|
| 105 |
+
</port>
|
| 106 |
+
</output>
|
| 107 |
+
</layer>
|
| 108 |
+
<layer id="8" name="self.weight/fq_weights_0/convert" type="Convert" version="opset1">
|
| 109 |
+
<data destination_type="f32" />
|
| 110 |
+
<input>
|
| 111 |
+
<port id="0" precision="FP16">
|
| 112 |
+
<dim>49280</dim>
|
| 113 |
+
<dim>576</dim>
|
| 114 |
+
</port>
|
| 115 |
+
</input>
|
| 116 |
+
<output>
|
| 117 |
+
<port id="1" precision="FP32">
|
| 118 |
+
<dim>49280</dim>
|
| 119 |
+
<dim>576</dim>
|
| 120 |
+
</port>
|
| 121 |
+
</output>
|
| 122 |
+
</layer>
|
| 123 |
+
<layer id="9" name="aten::embedding/Convert" type="Convert" version="opset1">
|
| 124 |
+
<data destination_type="i32" />
|
| 125 |
+
<input>
|
| 126 |
+
<port id="0" precision="I64">
|
| 127 |
+
<dim>-1</dim>
|
| 128 |
+
<dim>-1</dim>
|
| 129 |
+
</port>
|
| 130 |
+
</input>
|
| 131 |
+
<output>
|
| 132 |
+
<port id="1" precision="I32">
|
| 133 |
+
<dim>-1</dim>
|
| 134 |
+
<dim>-1</dim>
|
| 135 |
+
</port>
|
| 136 |
+
</output>
|
| 137 |
+
</layer>
|
| 138 |
+
<layer id="10" name="aten::embedding/Constant" type="Const" version="opset1">
|
| 139 |
+
<data element_type="i32" shape="" offset="28533120" size="4" />
|
| 140 |
+
<output>
|
| 141 |
+
<port id="0" precision="I32" />
|
| 142 |
+
</output>
|
| 143 |
+
</layer>
|
| 144 |
+
<layer id="11" name="aten::embedding/Gather" type="Gather" version="opset8">
|
| 145 |
+
<data batch_dims="0" />
|
| 146 |
+
<input>
|
| 147 |
+
<port id="0" precision="FP32">
|
| 148 |
+
<dim>49280</dim>
|
| 149 |
+
<dim>576</dim>
|
| 150 |
+
</port>
|
| 151 |
+
<port id="1" precision="I32">
|
| 152 |
+
<dim>-1</dim>
|
| 153 |
+
<dim>-1</dim>
|
| 154 |
+
</port>
|
| 155 |
+
<port id="2" precision="I32" />
|
| 156 |
+
</input>
|
| 157 |
+
<output>
|
| 158 |
+
<port id="3" precision="FP32" names="inputs_embeds">
|
| 159 |
+
<dim>-1</dim>
|
| 160 |
+
<dim>-1</dim>
|
| 161 |
+
<dim>576</dim>
|
| 162 |
+
</port>
|
| 163 |
+
</output>
|
| 164 |
+
</layer>
|
| 165 |
+
<layer id="12" name="Result_189847" type="Result" version="opset1" output_names="inputs_embeds">
|
| 166 |
+
<input>
|
| 167 |
+
<port id="0" precision="FP32">
|
| 168 |
+
<dim>-1</dim>
|
| 169 |
+
<dim>-1</dim>
|
| 170 |
+
<dim>576</dim>
|
| 171 |
+
</port>
|
| 172 |
+
</input>
|
| 173 |
+
</layer>
|
| 174 |
+
</layers>
|
| 175 |
+
<edges>
|
| 176 |
+
<edge from-layer="0" from-port="0" to-layer="9" to-port="0" />
|
| 177 |
+
<edge from-layer="1" from-port="0" to-layer="2" to-port="0" />
|
| 178 |
+
<edge from-layer="2" from-port="1" to-layer="5" to-port="0" />
|
| 179 |
+
<edge from-layer="3" from-port="0" to-layer="4" to-port="0" />
|
| 180 |
+
<edge from-layer="4" from-port="1" to-layer="5" to-port="1" />
|
| 181 |
+
<edge from-layer="5" from-port="2" to-layer="7" to-port="0" />
|
| 182 |
+
<edge from-layer="6" from-port="0" to-layer="7" to-port="1" />
|
| 183 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="0" />
|
| 184 |
+
<edge from-layer="8" from-port="1" to-layer="11" to-port="0" />
|
| 185 |
+
<edge from-layer="9" from-port="1" to-layer="11" to-port="1" />
|
| 186 |
+
<edge from-layer="10" from-port="0" to-layer="11" to-port="2" />
|
| 187 |
+
<edge from-layer="11" from-port="3" to-layer="12" to-port="0" />
|
| 188 |
+
</edges>
|
| 189 |
+
<rt_info>
|
| 190 |
+
<Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
|
| 191 |
+
<conversion_parameters>
|
| 192 |
+
<framework value="pytorch" />
|
| 193 |
+
<is_python_object value="True" />
|
| 194 |
+
</conversion_parameters>
|
| 195 |
+
<nncf>
|
| 196 |
+
<friendly_names_were_updated value="True" />
|
| 197 |
+
<version value="2.17.0" />
|
| 198 |
+
<weight_compression>
|
| 199 |
+
<advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}, 'lora_adapter_rank': 256, 'backend_params': {}}" />
|
| 200 |
+
<all_layers value="False" />
|
| 201 |
+
<awq value="False" />
|
| 202 |
+
<backup_mode value="int8_asym" />
|
| 203 |
+
<compression_format value="dequantize" />
|
| 204 |
+
<gptq value="False" />
|
| 205 |
+
<group_size value="-1" />
|
| 206 |
+
<ignored_scope value="[]" />
|
| 207 |
+
<lora_correction value="False" />
|
| 208 |
+
<mode value="int8_asym" />
|
| 209 |
+
<ratio value="1.0" />
|
| 210 |
+
<scale_estimation value="False" />
|
| 211 |
+
<sensitivity_metric value="weight_quantization_error" />
|
| 212 |
+
</weight_compression>
|
| 213 |
+
</nncf>
|
| 214 |
+
<optimum>
|
| 215 |
+
<nncf_version value="2.17.0" />
|
| 216 |
+
<optimum_intel_version value="1.25.0.dev0+06c0a597" />
|
| 217 |
+
<optimum_version value="1.26.1" />
|
| 218 |
+
<pytorch_version value="2.7.1+cpu" />
|
| 219 |
+
<transformers_version value="4.52.4" />
|
| 220 |
+
</optimum>
|
| 221 |
+
</rt_info>
|
| 222 |
+
</net>
|