add jpqd-lt-r0.02-8eph-optimum-cfg-QEmb

ir/jpqd-lt-r0.02-8eph-optimum-cfg-QEmb/mo-pruned-ir/nncf_network.bin

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+size 74602984

ir/jpqd-lt-r0.02-8eph-optimum-cfg-QEmb/nncf_network.bin

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+size 109593096

ir/jpqd-lt-r0.02-8eph-optimum-cfg-QEmb/nncf_network.onnx

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+oid sha256:a8e872e9e20836ddf9b54250a2e0cd701e16e2075d110c0a55ac4ac7cf968191
+size 437092459

ir/jpqd-lt-r0.02-8eph-optimum-cfg-QEmb/openvino_config.json

@@ -0,0 +1,99 @@
+{
+  "compression": [
+    {
+      "algorithm": "movement_sparsity",
+      "ignored_scopes": [
+        "{re}.*NNCFEmbedding",
+        "{re}.*qa_outputs*",
+        "{re}.*LayerNorm.*"
+      ],
+      "params": {
+        "enable_structured_masking": true,
+        "importance_regularization_factor": 0.02,
+        "warmup_end_epoch": 4,
+        "warmup_start_epoch": 1
+      },
+      "sparse_structure_by_scopes": [
+        {
+          "mode": "block",
+          "sparse_factors": [
+            32,
+            32
+          ],
+          "target_scopes": "{re}.*BertAttention*"
+        },
+        {
+          "axis": 0,
+          "mode": "per_dim",
+          "target_scopes": "{re}.*BertIntermediate.*"
+        },
+        {
+          "axis": 1,
+          "mode": "per_dim",
+          "target_scopes": "{re}.*BertOutput.*"
+        }
+      ]
+    },
+    {
+      "algorithm": "quantization",
+      "export_to_onnx_standard_ops": false,
+      "ignored_scopes": [
+        "{re}.*__add___[0-1]",
+        "{re}.*layer_norm_0",
+        "{re}.*matmul_1",
+        "{re}.*__truediv__*"
+      ],
+      "initializer": {
+        "batchnorm_adaptation": {
+          "num_bn_adaptation_samples": 200
+        },
+        "range": {
+          "num_init_samples": 32,
+          "params": {
+            "max_percentile": 99.99,
+            "min_percentile": 0.01
+          },
+          "type": "percentile"
+        }
+      },
+      "overflow_fix": "disable",
+      "preset": "mixed",
+      "scope_overrides": {
+        "activations": {
+          "{re}.*matmul_0": {
+            "mode": "symmetric"
+          }
+        }
+      }
+    }
+  ],
+  "input_info": [
+    {
+      "keyword": "input_ids",
+      "sample_size": [
+        16,
+        384
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "token_type_ids",
+      "sample_size": [
+        16,
+        384
+      ],
+      "type": "long"
+    },
+    {
+      "keyword": "attention_mask",
+      "sample_size": [
+        16,
+        384
+      ],
+      "type": "long"
+    }
+  ],
+  "optimum_version": "1.5.2",
+  "save_onnx_model": false,
+  "transformers_version": "4.25.1"
+}

ir/jpqd-lt-r0.02-8eph-optimum-cfg-QEmb/openvino_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:99dbb80c0e253f3f64d4f14dd48846312b79063694d09bde2805a1d22ed32a39
+size 109594088