Upload 48 files

CodeDecoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8345486c7d0ea287283e4e0194e3f53791882866168b6751dc649052d41503d8
+size 243

CodeDecoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9078227add9378b790d09d263184a3481dee955ad6e23c5ee7aeacb9b9697aaa
+size 641

CodeDecoder.mlmodelc/metadata.json

@@ -0,0 +1,160 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float32",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1 × 3072)",
+        "shortDescription" : "",
+        "shape" : "[1, 1, 3072]",
+        "name" : "logits",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "hidden_states",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 28672 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 28672, 1, 256]",
+        "name" : "new_key_cache",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 28672 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 28672, 1, 256]",
+        "name" : "new_value_cache",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.expandDims" : 235,
+      "Ios18.softmax" : 28,
+      "Ios18.cos" : 1,
+      "Ios18.mul" : 566,
+      "Ios18.matmul" : 57,
+      "Ios18.rsqrt" : 113,
+      "Ios16.reduceMean" : 113,
+      "Ios18.sin" : 1,
+      "Tile" : 56,
+      "Ios18.add" : 311,
+      "Ios18.reshape" : 280,
+      "Ios18.linear" : 197,
+      "Ios18.concat" : 59,
+      "Ios18.transpose" : 113,
+      "Ios18.sub" : 1,
+      "Ios18.pow" : 113,
+      "Ios18.cast" : 10,
+      "Ios18.silu" : 28,
+      "Ios18.sliceByIndex" : 168,
+      "Ios18.squeeze" : 283
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "input_embeds",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "cache_length",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 256]",
+        "name" : "key_padding_mask",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 256]",
+        "name" : "kv_cache_update_mask",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 28672 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 28672, 1, 256]",
+        "name" : "key_cache",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 28672 × 1 × 256)",
+        "shortDescription" : "",
+        "shape" : "[1, 28672, 1, 256]",
+        "name" : "value_cache",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "CodeDecoder",
+    "method" : "predict"
+  }
+]

CodeDecoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac65c785ed811f32ecf104b7eb5964e8337ae25e69e3b9388d9e59f728862da3
+size 1774497728

CodeDecoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6dd851437cbd6bf5099d35a23a4dbde2260da1fb105486a2bd93a95f1e62e6b
+size 715988

CodeDecoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac65c785ed811f32ecf104b7eb5964e8337ae25e69e3b9388d9e59f728862da3
+size 1774497728

CodeDecoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "0263A430-7CA4-4CFE-AF72-3450E3091735": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "FB7E765B-CAED-45B8-8D62-E03F08BEC5BC": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        }
+    },
+    "rootModelIdentifier": "0263A430-7CA4-4CFE-AF72-3450E3091735"
+}

CodeEmbedder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f17e7f736e831b85b54889353af91b6cb0d7624561471bc2d295c1128169712a
+size 243

CodeEmbedder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b2b5bc8ef42b5aed93e5c070c9cf7bf8c2c2409824b46b64060008f3d520438
+size 381

CodeEmbedder.mlmodelc/metadata.json

@@ -0,0 +1,66 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float16",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "input_embeds",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.greaterEqual" : 1,
+      "Ios18.add" : 1,
+      "Ios18.cast" : 3,
+      "Select" : 1,
+      "Ios18.gather" : 1,
+      "Ios18.expandDims" : 2
+    },
+    "computePrecision" : "Mixed (Float16, Int16, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.10.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "input_ids",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "CodeEmbedder",
+    "method" : "predict"
+  }
+]

CodeEmbedder.mlmodelc/model.mil

@@ -0,0 +1,26 @@
+program(1.3)
+[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.10.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
+{
+    func main<ios18>(tensor<int32, [1]> input_ids) {
+            int32 embed_batch_dims_0 = const()[name = string("embed_batch_dims_0"), val = int32(0)];
+            bool embed_validate_indices_0 = const()[name = string("embed_validate_indices_0"), val = bool(false)];
+            tensor<fp16, [3072, 1024]> codec_embedding_weight_to_fp16 = const()[name = string("codec_embedding_weight_to_fp16"), val = tensor<fp16, [3072, 1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))];
+            string input_ids_to_int16_dtype_0 = const()[name = string("input_ids_to_int16_dtype_0"), val = string("int16")];
+            string cast_2_dtype_0 = const()[name = string("cast_2_dtype_0"), val = string("int32")];
+            int32 greater_equal_0_y_0 = const()[name = string("greater_equal_0_y_0"), val = int32(0)];
+            tensor<int16, [1]> input_ids_to_int16 = cast(dtype = input_ids_to_int16_dtype_0, x = input_ids)[name = string("cast_5")];
+            tensor<int32, [1]> cast_2 = cast(dtype = cast_2_dtype_0, x = input_ids_to_int16)[name = string("cast_4")];
+            tensor<bool, [1]> greater_equal_0 = greater_equal(x = cast_2, y = greater_equal_0_y_0)[name = string("greater_equal_0")];
+            int32 slice_by_index_0 = const()[name = string("slice_by_index_0"), val = int32(3072)];
+            tensor<int32, [1]> add_0 = add(x = cast_2, y = slice_by_index_0)[name = string("add_0")];
+            tensor<int32, [1]> select_0 = select(a = cast_2, b = add_0, cond = greater_equal_0)[name = string("select_0")];
+            int32 embed_cast_fp16_cast_uint16_axis_0 = const()[name = string("embed_cast_fp16_cast_uint16_axis_0"), val = int32(0)];
+            string select_0_to_int16_dtype_0 = const()[name = string("select_0_to_int16_dtype_0"), val = string("int16")];
+            tensor<int16, [1]> select_0_to_int16 = cast(dtype = select_0_to_int16_dtype_0, x = select_0)[name = string("cast_3")];
+            tensor<fp16, [1, 1024]> embed_cast_fp16_cast_uint16_cast_uint16 = gather(axis = embed_cast_fp16_cast_uint16_axis_0, batch_dims = embed_batch_dims_0, indices = select_0_to_int16, validate_indices = embed_validate_indices_0, x = codec_embedding_weight_to_fp16)[name = string("embed_cast_fp16_cast_uint16_cast_uint16")];
+            tensor<int32, [1]> var_8_axes_0 = const()[name = string("op_8_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1]> var_8_cast_fp16 = expand_dims(axes = var_8_axes_0, x = embed_cast_fp16_cast_uint16_cast_uint16)[name = string("op_8_cast_fp16")];
+            tensor<int32, [1]> var_10_axes_0 = const()[name = string("op_10_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1, 1]> input_embeds = expand_dims(axes = var_10_axes_0, x = var_8_cast_fp16)[name = string("op_10_cast_fp16")];
+        } -> (input_embeds);
+}

CodeEmbedder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc523d30a88406fc4988b3e523cddba01b004a688071591be1db81e3abe0830b
+size 6291584

CodeEmbedder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd76a225dbbae9754c93805c3377def520e00453108b527eb01eb93d135cf6fd
+size 3366

CodeEmbedder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dc523d30a88406fc4988b3e523cddba01b004a688071591be1db81e3abe0830b
+size 6291584

CodeEmbedder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "10EEEF0C-0099-4C00-A391-1F79A162CD55": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "72910515-6A65-44CD-BE0E-E7AB46883288": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "72910515-6A65-44CD-BE0E-E7AB46883288"
+}

MultiCodeDecoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a73bc7058148e8d187486bafe7450c61afb6545ac9159af85344c299beb19eb0
+size 243

MultiCodeDecoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f26a77a0b60707f29f4fbcdbe2f8176cb89bb92c14429eaaafbfceaa58e3c739
+size 635

MultiCodeDecoder.mlmodelc/metadata.json

@@ -0,0 +1,162 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Mixed (Float32, Palettized (8 bits), UInt8)",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 15 × 2048)",
+        "shortDescription" : "",
+        "shape" : "[1, 15, 2048]",
+        "name" : "all_logits",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "hidden_states",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 5120, 1, 16]",
+        "name" : "new_key_cache",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 5120, 1, 16]",
+        "name" : "new_value_cache",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.expandDims" : 49,
+      "Ios18.softmax" : 5,
+      "Ios18.cos" : 1,
+      "Ios18.mul" : 106,
+      "Ios18.matmul" : 11,
+      "Ios18.rsqrt" : 21,
+      "Ios16.reduceMean" : 21,
+      "Ios18.sin" : 1,
+      "Tile" : 10,
+      "Ios18.add" : 58,
+      "Ios18.reshape" : 50,
+      "Ios18.constexprLutToDense" : 50,
+      "Ios18.linear" : 50,
+      "Ios18.concat" : 13,
+      "Ios18.transpose" : 21,
+      "Ios18.sub" : 1,
+      "Ios18.pow" : 21,
+      "Ios18.cast" : 10,
+      "Ios18.silu" : 5,
+      "Stack" : 1,
+      "Ios18.sliceByIndex" : 30,
+      "Ios18.squeeze" : 67
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "input_embeds",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "cache_length",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 5120, 1, 16]",
+        "name" : "key_cache",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 16]",
+        "name" : "key_padding_mask",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 16]",
+        "name" : "kv_cache_update_mask",
+        "type" : "MultiArray"
+      },
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 5120 × 1 × 16)",
+        "shortDescription" : "",
+        "shape" : "[1, 5120, 1, 16]",
+        "name" : "value_cache",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "MultiCodeDecoder",
+    "method" : "predict"
+  }
+]

MultiCodeDecoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bed887bd321e162bf9993197bcc882d7fee120a4ffcac638452844b3cddbf6f
+size 110234752

MultiCodeDecoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21e3723b1f66d3a237c5462e7801ff96a7e8eaeaa0b00086ca83b6041ceade9d
+size 150675

MultiCodeDecoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bed887bd321e162bf9993197bcc882d7fee120a4ffcac638452844b3cddbf6f
+size 110234752

MultiCodeDecoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "ABCF1C61-2114-489E-9BCC-231CDBEE037D": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "C2DBFC38-9470-4E00-B0F2-94A4154EBABA": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "C2DBFC38-9470-4E00-B0F2-94A4154EBABA"
+}

MultiCodeEmbedder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44c4ed23aead0da950d21abe61c62c67151710f0dd2cb231e18ecc25d33fd882
+size 243

MultiCodeEmbedder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5f84d6adb86a8ca20fd9991f6f3e37e00af10c957150222967069ba7727719d
+size 381

MultiCodeEmbedder.mlmodelc/metadata.json

@@ -0,0 +1,66 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float16",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "input_embeds",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.greaterEqual" : 1,
+      "Ios18.add" : 1,
+      "Ios18.cast" : 3,
+      "Select" : 1,
+      "Ios18.gather" : 1,
+      "Ios18.expandDims" : 2
+    },
+    "computePrecision" : "Mixed (Float16, Int16, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.10.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "input_ids",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "MultiCodeEmbedder",
+    "method" : "predict"
+  }
+]

MultiCodeEmbedder.mlmodelc/model.mil

@@ -0,0 +1,26 @@
+program(1.3)
+[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.10.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
+{
+    func main<ios18>(tensor<int32, [1]> input_ids) {
+            int32 embed_batch_dims_0 = const()[name = string("embed_batch_dims_0"), val = int32(0)];
+            bool embed_validate_indices_0 = const()[name = string("embed_validate_indices_0"), val = bool(false)];
+            tensor<fp16, [30720, 1024]> embedding_weight_to_fp16 = const()[name = string("embedding_weight_to_fp16"), val = tensor<fp16, [30720, 1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))];
+            string input_ids_to_int16_dtype_0 = const()[name = string("input_ids_to_int16_dtype_0"), val = string("int16")];
+            string cast_2_dtype_0 = const()[name = string("cast_2_dtype_0"), val = string("int32")];
+            int32 greater_equal_0_y_0 = const()[name = string("greater_equal_0_y_0"), val = int32(0)];
+            tensor<int16, [1]> input_ids_to_int16 = cast(dtype = input_ids_to_int16_dtype_0, x = input_ids)[name = string("cast_5")];
+            tensor<int32, [1]> cast_2 = cast(dtype = cast_2_dtype_0, x = input_ids_to_int16)[name = string("cast_4")];
+            tensor<bool, [1]> greater_equal_0 = greater_equal(x = cast_2, y = greater_equal_0_y_0)[name = string("greater_equal_0")];
+            int32 slice_by_index_0 = const()[name = string("slice_by_index_0"), val = int32(30720)];
+            tensor<int32, [1]> add_0 = add(x = cast_2, y = slice_by_index_0)[name = string("add_0")];
+            tensor<int32, [1]> select_0 = select(a = cast_2, b = add_0, cond = greater_equal_0)[name = string("select_0")];
+            int32 embed_cast_fp16_cast_uint16_axis_0 = const()[name = string("embed_cast_fp16_cast_uint16_axis_0"), val = int32(0)];
+            string select_0_to_int16_dtype_0 = const()[name = string("select_0_to_int16_dtype_0"), val = string("int16")];
+            tensor<int16, [1]> select_0_to_int16 = cast(dtype = select_0_to_int16_dtype_0, x = select_0)[name = string("cast_3")];
+            tensor<fp16, [1, 1024]> embed_cast_fp16_cast_uint16_cast_uint16 = gather(axis = embed_cast_fp16_cast_uint16_axis_0, batch_dims = embed_batch_dims_0, indices = select_0_to_int16, validate_indices = embed_validate_indices_0, x = embedding_weight_to_fp16)[name = string("embed_cast_fp16_cast_uint16_cast_uint16")];
+            tensor<int32, [1]> var_8_axes_0 = const()[name = string("op_8_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1]> var_8_cast_fp16 = expand_dims(axes = var_8_axes_0, x = embed_cast_fp16_cast_uint16_cast_uint16)[name = string("op_8_cast_fp16")];
+            tensor<int32, [1]> var_10_axes_0 = const()[name = string("op_10_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1, 1]> input_embeds = expand_dims(axes = var_10_axes_0, x = var_8_cast_fp16)[name = string("op_10_cast_fp16")];
+        } -> (input_embeds);
+}

MultiCodeEmbedder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9215324f237e6e41298eaca272ea0d6f0b6c10b36ee00fd1009e03f2b193485c
+size 62914688

MultiCodeEmbedder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:51f61f175c7d56995c611824f357bc3dc048867cff6ff641edb3169138ced5cf
+size 3351

MultiCodeEmbedder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9215324f237e6e41298eaca272ea0d6f0b6c10b36ee00fd1009e03f2b193485c
+size 62914688

MultiCodeEmbedder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "67DB8580-5E2C-4286-A794-EFDDCDD4532B": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "A6587045-5979-4B84-80EA-9CE474AEB084": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "A6587045-5979-4B84-80EA-9CE474AEB084"
+}

SpeechDecoder.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41f590264fbf717d778158ada892a5281aeee098a462a1b1c8f12094120d990b
+size 243

SpeechDecoder.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94b87f05a28e16baa914ea5f4cbd33078d806c696191f9f4c237758612f458ea
+size 377

SpeechDecoder.mlmodelc/metadata.json

@@ -0,0 +1,85 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Mixed (Float16, Palettized (8 bits), UInt8)",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1 × 240000)",
+        "shortDescription" : "",
+        "shape" : "[1, 1, 240000]",
+        "name" : "audio",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Ios18.softmax" : 8,
+      "Ios18.mul" : 174,
+      "Ios18.matmul" : 16,
+      "Ios18.rsqrt" : 17,
+      "Ios16.reduceMean" : 17,
+      "Ios18.sin" : 29,
+      "Ios18.greaterEqual" : 2,
+      "Select" : 2,
+      "Ios18.gather" : 16,
+      "Ios18.add" : 117,
+      "Ios18.layerNorm" : 2,
+      "Ios18.reshape" : 32,
+      "Pad" : 17,
+      "Ios18.constexprLutToDense" : 134,
+      "Ios18.linear" : 62,
+      "Ios18.conv" : 31,
+      "Ios18.concat" : 16,
+      "Ios18.transpose" : 40,
+      "Ios18.pow" : 46,
+      "Ios18.cast" : 19,
+      "Ios18.silu" : 8,
+      "Ios18.gelu" : 2,
+      "Ios18.clip" : 1,
+      "Ios18.convTranspose" : 6,
+      "Ios18.sliceByIndex" : 54
+    },
+    "computePrecision" : "Mixed (Float16, Float32, Int16, Int32, UInt16)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1 × 16 × 125)",
+        "shortDescription" : "",
+        "shape" : "[1, 16, 125]",
+        "name" : "audio_codes",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "SpeechDecoder",
+    "method" : "predict"
+  }
+]

SpeechDecoder.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9238b00d2630825fc9d176bd70e6ef8248c3732241d1af850ee2b623fd2dc715
+size 114217664

SpeechDecoder.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:279b466bf61d67bddca2a3877756fd6ea8ff50c72c8ac58f2833af7e5e3d9d11
+size 309010

SpeechDecoder.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9238b00d2630825fc9d176bd70e6ef8248c3732241d1af850ee2b623fd2dc715
+size 114217664

SpeechDecoder.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "1249F3B9-82CA-4FAE-BE1D-C2CE2D4C3EC1": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "43B6139C-2FC6-4B7B-8324-95A017016304": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "43B6139C-2FC6-4B7B-8324-95A017016304"
+}

TextProjector.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b236e586740db8f885ed42d47f7a5671f38d0df9ab0c3933e3b92c084c5a5e18
+size 243

TextProjector.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de79900c00c95c8497ceeab0f0cdcfd975c5db6eb5ad680e874c7dd1f0a6d717
+size 381

TextProjector.mlmodelc/metadata.json

@@ -0,0 +1,68 @@
+[
+  {
+    "metadataOutputVersion" : "3.0",
+    "storagePrecision" : "Float16",
+    "outputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Float16",
+        "formattedType" : "MultiArray (Float16 1 × 1024 × 1 × 1)",
+        "shortDescription" : "",
+        "shape" : "[1, 1024, 1, 1]",
+        "name" : "input_embeds",
+        "type" : "MultiArray"
+      }
+    ],
+    "modelParameters" : [
+
+    ],
+    "specificationVersion" : 9,
+    "mlProgramOperationTypeHistogram" : {
+      "Select" : 1,
+      "Ios18.squeeze" : 1,
+      "Ios18.gather" : 1,
+      "Ios18.linear" : 2,
+      "Ios18.expandDims" : 3,
+      "Ios18.silu" : 1,
+      "Ios18.greaterEqual" : 1,
+      "Ios18.add" : 1
+    },
+    "computePrecision" : "Mixed (Float16, Int32)",
+    "isUpdatable" : "0",
+    "stateSchema" : [
+
+    ],
+    "availability" : {
+      "macOS" : "15.0",
+      "tvOS" : "18.0",
+      "visionOS" : "2.0",
+      "watchOS" : "11.0",
+      "iOS" : "18.0",
+      "macCatalyst" : "18.0"
+    },
+    "modelType" : {
+      "name" : "MLModelType_mlProgram"
+    },
+    "userDefinedMetadata" : {
+      "com.github.apple.coremltools.conversion_date" : "2026-03-22",
+      "com.github.apple.coremltools.source" : "torch==2.10.0",
+      "com.github.apple.coremltools.version" : "9.0",
+      "com.github.apple.coremltools.source_dialect" : "TorchScript"
+    },
+    "inputSchema" : [
+      {
+        "hasShapeFlexibility" : "0",
+        "isOptional" : "0",
+        "dataType" : "Int32",
+        "formattedType" : "MultiArray (Int32 1)",
+        "shortDescription" : "",
+        "shape" : "[1]",
+        "name" : "input_ids",
+        "type" : "MultiArray"
+      }
+    ],
+    "generatedClassName" : "TextProjector",
+    "method" : "predict"
+  }
+]

TextProjector.mlmodelc/model.mil

@@ -0,0 +1,31 @@
+program(1.3)
+[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}, {"coremltools-component-torch", "2.10.0"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "9.0"}})]
+{
+    func main<ios18>(tensor<int32, [1]> input_ids) {
+            int32 embed_batch_dims_0 = const()[name = string("embed_batch_dims_0"), val = int32(0)];
+            bool embed_validate_indices_0 = const()[name = string("embed_validate_indices_0"), val = bool(false)];
+            tensor<fp16, [151936, 2048]> text_embedding_weight_to_fp16 = const()[name = string("text_embedding_weight_to_fp16"), val = tensor<fp16, [151936, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64)))];
+            int32 greater_equal_0_y_0 = const()[name = string("greater_equal_0_y_0"), val = int32(0)];
+            tensor<bool, [1]> greater_equal_0 = greater_equal(x = input_ids, y = greater_equal_0_y_0)[name = string("greater_equal_0")];
+            int32 slice_by_index_0 = const()[name = string("slice_by_index_0"), val = int32(151936)];
+            tensor<int32, [1]> add_0 = add(x = input_ids, y = slice_by_index_0)[name = string("add_0")];
+            tensor<int32, [1]> select_0 = select(a = input_ids, b = add_0, cond = greater_equal_0)[name = string("select_0")];
+            int32 embed_cast_fp16_axis_0 = const()[name = string("embed_cast_fp16_axis_0"), val = int32(0)];
+            tensor<fp16, [1, 2048]> embed_cast_fp16 = gather(axis = embed_cast_fp16_axis_0, batch_dims = embed_batch_dims_0, indices = select_0, validate_indices = embed_validate_indices_0, x = text_embedding_weight_to_fp16)[name = string("embed_cast_fp16")];
+            tensor<int32, [1]> input_1_axes_0 = const()[name = string("input_1_axes_0"), val = tensor<int32, [1]>([0])];
+            tensor<fp16, [1, 1, 2048]> input_1_cast_fp16 = expand_dims(axes = input_1_axes_0, x = embed_cast_fp16)[name = string("input_1_cast_fp16")];
+            tensor<fp16, [2048, 2048]> text_projection_linear_fc1_weight_to_fp16 = const()[name = string("text_projection_linear_fc1_weight_to_fp16"), val = tensor<fp16, [2048, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(622329984)))];
+            tensor<fp16, [2048]> text_projection_linear_fc1_bias_to_fp16 = const()[name = string("text_projection_linear_fc1_bias_to_fp16"), val = tensor<fp16, [2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(630718656)))];
+            tensor<fp16, [1, 1, 2048]> linear_0_cast_fp16 = linear(bias = text_projection_linear_fc1_bias_to_fp16, weight = text_projection_linear_fc1_weight_to_fp16, x = input_1_cast_fp16)[name = string("linear_0_cast_fp16")];
+            tensor<fp16, [1, 1, 2048]> input_cast_fp16 = silu(x = linear_0_cast_fp16)[name = string("input_cast_fp16")];
+            tensor<fp16, [1024, 2048]> text_projection_linear_fc2_weight_to_fp16 = const()[name = string("text_projection_linear_fc2_weight_to_fp16"), val = tensor<fp16, [1024, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(630722816)))];
+            tensor<fp16, [1024]> text_projection_linear_fc2_bias_to_fp16 = const()[name = string("text_projection_linear_fc2_bias_to_fp16"), val = tensor<fp16, [1024]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(634917184)))];
+            tensor<fp16, [1, 1, 1024]> linear_1_cast_fp16 = linear(bias = text_projection_linear_fc2_bias_to_fp16, weight = text_projection_linear_fc2_weight_to_fp16, x = input_cast_fp16)[name = string("linear_1_cast_fp16")];
+            tensor<int32, [1]> var_20_axes_0 = const()[name = string("op_20_axes_0"), val = tensor<int32, [1]>([1])];
+            tensor<fp16, [1, 1024]> var_20_cast_fp16 = squeeze(axes = var_20_axes_0, x = linear_1_cast_fp16)[name = string("op_20_cast_fp16")];
+            tensor<int32, [1]> var_22_axes_0 = const()[name = string("op_22_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1]> var_22_cast_fp16 = expand_dims(axes = var_22_axes_0, x = var_20_cast_fp16)[name = string("op_22_cast_fp16")];
+            tensor<int32, [1]> var_24_axes_0 = const()[name = string("op_24_axes_0"), val = tensor<int32, [1]>([-1])];
+            tensor<fp16, [1, 1024, 1, 1]> input_embeds = expand_dims(axes = var_24_axes_0, x = var_22_cast_fp16)[name = string("op_24_cast_fp16")];
+        } -> (input_embeds);
+}

TextProjector.mlmodelc/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47aca0de6e40c2f27011bbb728eb7840333dd19873707f5aab75c32460aae610
+size 634919296

TextProjector.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03655ac47f8e1f7bea790679631c9f4d1b9c92cdb84e3a06319e3cf10b201067
+size 4474

TextProjector.mlpackage/Data/com.apple.CoreML/weights/weight.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47aca0de6e40c2f27011bbb728eb7840333dd19873707f5aab75c32460aae610
+size 634919296

TextProjector.mlpackage/Manifest.json

@@ -0,0 +1,18 @@
+{
+    "fileFormatVersion": "1.0.0",
+    "itemInfoEntries": {
+        "202CCF22-4EC8-4090-87BA-E42DB34E6F42": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
+        },
+        "D5A322E4-A189-4F13-B0D0-35C114E36DD0": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
+        }
+    },
+    "rootModelIdentifier": "D5A322E4-A189-4F13-B0D0-35C114E36DD0"
+}