Upload 48 files

CodeDecoder.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8345486c7d0ea287283e4e0194e3f53791882866168b6751dc649052d41503d8
+oid sha256:dfeecaf988b83fe45950ba10142e93d28022e4389a1d88f6d2575a8aaa3220a6
 size 243

CodeDecoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9078227add9378b790d09d263184a3481dee955ad6e23c5ee7aeacb9b9697aaa
+oid sha256:fb9500c31ce2a6d10f4c82ac03a2e3ed85e4e58600c082a91028b0749cb16f81
 size 641

CodeDecoder.mlmodelc/metadata.json

@@ -1,7 +1,7 @@
 [
   {
     "metadataOutputVersion" : "3.0",
-    "storagePrecision" : "Float32",
+    "storagePrecision" : "Mixed (Float16, Palettized (8 bits), UInt8)",
     "outputSchema" : [
       {
         "hasShapeFlexibility" : "0",
@@ -60,12 +60,13 @@
       "Tile" : 56,
       "Ios18.add" : 311,
       "Ios18.reshape" : 280,
+      "Ios18.constexprLutToDense" : 197,
       "Ios18.linear" : 197,
       "Ios18.concat" : 59,
       "Ios18.transpose" : 113,
       "Ios18.sub" : 1,
       "Ios18.pow" : 113,
-      "Ios18.cast" : 10,
+      "Ios18.cast" : 1,
       "Ios18.silu" : 28,
       "Ios18.sliceByIndex" : 168,
       "Ios18.squeeze" : 283

CodeDecoder.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac65c785ed811f32ecf104b7eb5964e8337ae25e69e3b9388d9e59f728862da3
-size 1774497728
+oid sha256:65e3442b2ae6df9cc1d3942018bdd6622d174798b265355bc8003226a15068b4
+size 443824768

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6dd851437cbd6bf5099d35a23a4dbde2260da1fb105486a2bd93a95f1e62e6b
-size 715988
+oid sha256:9eaeff85176d7cd2266146f3479c517cdeadc62a1be8601231e2b4305a983c17
+size 846842

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ac65c785ed811f32ecf104b7eb5964e8337ae25e69e3b9388d9e59f728862da3
-size 1774497728
+oid sha256:65e3442b2ae6df9cc1d3942018bdd6622d174798b265355bc8003226a15068b4
+size 443824768

CodeDecoder.mlpackage/Manifest.json

@@ -1,18 +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": {
+        "E39C8D3F-2522-4FA1-BB8B-2010336D5500": {
             "author": "com.apple.CoreML",
             "description": "CoreML Model Weights",
             "name": "weights",
             "path": "com.apple.CoreML/weights"
+        },
+        "E5A81E6F-9125-4151-8377-031B247C1140": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Specification",
+            "name": "model.mlmodel",
+            "path": "com.apple.CoreML/model.mlmodel"
         }
     },
-    "rootModelIdentifier": "0263A430-7CA4-4CFE-AF72-3450E3091735"
+    "rootModelIdentifier": "E5A81E6F-9125-4151-8377-031B247C1140"
 }

CodeEmbedder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b2b5bc8ef42b5aed93e5c070c9cf7bf8c2c2409824b46b64060008f3d520438
+oid sha256:5fb43c570028bf7d0b942234cd56171c63eb9aaac461073cd424623712221f55
 size 381

MultiCodeDecoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f26a77a0b60707f29f4fbcdbe2f8176cb89bb92c14429eaaafbfceaa58e3c739
+oid sha256:1061785f97f06720fc94690b5520c8623013e1f1397e6c653b391f1e58b89e2c
 size 635

MultiCodeEmbedder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f5f84d6adb86a8ca20fd9991f6f3e37e00af10c957150222967069ba7727719d
+oid sha256:490fcba32b28675010233aa6de903b812d4e51bb60d9fa0c03407dd772e674be
 size 381

SpeechDecoder.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:94b87f05a28e16baa914ea5f4cbd33078d806c696191f9f4c237758612f458ea
+oid sha256:83480aa866a6f299f808c7045a67b947eabbf403afd68e2fb8b73e89164460f4
 size 377

TextProjector.mlmodelc/analytics/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b236e586740db8f885ed42d47f7a5671f38d0df9ab0c3933e3b92c084c5a5e18
+oid sha256:f9836a52e4368c06c67b7ed3fcb3fd5c786a58358fff5f6004d4b650a464a0f1
 size 243

TextProjector.mlmodelc/coremldata.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:de79900c00c95c8497ceeab0f0cdcfd975c5db6eb5ad680e874c7dd1f0a6d717
-size 381
+oid sha256:17351d79ab8b2bf9f952eecb90e603d2b4c8b4c75a702e32861b8ac34f1cc273
+size 380

TextProjector.mlmodelc/metadata.json

@@ -1,7 +1,7 @@
 [
   {
     "metadataOutputVersion" : "3.0",
-    "storagePrecision" : "Float16",
+    "storagePrecision" : "Mixed (Float16, Palettized (8 bits), UInt8)",
     "outputSchema" : [
       {
         "hasShapeFlexibility" : "0",
@@ -19,14 +19,15 @@
     ],
     "specificationVersion" : 9,
     "mlProgramOperationTypeHistogram" : {
-      "Select" : 1,
-      "Ios18.squeeze" : 1,
+      "Select" : 2,
+      "Ios18.silu" : 1,
       "Ios18.gather" : 1,
       "Ios18.linear" : 2,
+      "Ios18.squeeze" : 1,
+      "Ios18.constexprLutToDense" : 3,
       "Ios18.expandDims" : 3,
-      "Ios18.silu" : 1,
-      "Ios18.greaterEqual" : 1,
-      "Ios18.add" : 1
+      "Ios18.greaterEqual" : 2,
+      "Ios18.add" : 2
     },
     "computePrecision" : "Mixed (Float16, Int32)",
     "isUpdatable" : "0",
@@ -46,7 +47,7 @@
     },
     "userDefinedMetadata" : {
       "com.github.apple.coremltools.conversion_date" : "2026-03-22",
-      "com.github.apple.coremltools.source" : "torch==2.10.0",
+      "com.github.apple.coremltools.source" : "torch==2.7.0",
       "com.github.apple.coremltools.version" : "9.0",
       "com.github.apple.coremltools.source_dialect" : "TorchScript"
     },

TextProjector.mlmodelc/model.mil

@@ -1,26 +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"}})]
+[buildInfo = dict<string, string>({{"coremlc-component-MIL", "3510.2.1"}, {"coremlc-version", "3500.32.1"}})]
 {
     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)))];
+            tensor<fp16, [151936, 2048]> text_embedding_weight_to_fp16_palettized = constexpr_lut_to_dense(indices = tensor<uint8, [151936, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(64))), lut = tensor<fp16, [1, 1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(311165056))))[name = string("text_embedding_weight_to_fp16_palettized")];
             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 greater_equal_0_y_0_1 = const()[name = string("greater_equal_0_y_0_1"), val = int32(0)];
+            tensor<bool, [1]> greater_equal_0_1 = greater_equal(x = select_0, y = greater_equal_0_y_0_1)[name = string("greater_equal_0_1")];
+            int32 slice_by_index_0_1 = const()[name = string("slice_by_index_0_1"), val = int32(151936)];
+            tensor<int32, [1]> add_0_1 = add(x = select_0, y = slice_by_index_0_1)[name = string("add_0_1")];
+            tensor<int32, [1]> select_0_1 = select(a = select_0, b = add_0_1, cond = greater_equal_0_1)[name = string("select_0_1")];
             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<fp16, [1, 2048]> embed_cast_fp16 = gather(axis = embed_cast_fp16_axis_0, batch_dims = embed_batch_dims_0, indices = select_0_1, validate_indices = embed_validate_indices_0, x = text_embedding_weight_to_fp16_palettized)[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, [2048, 2048]> text_projection_linear_fc1_weight_to_fp16_palettized = constexpr_lut_to_dense(indices = tensor<uint8, [2048, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(311165632))), lut = tensor<fp16, [1, 1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(315360000))))[name = string("text_projection_linear_fc1_weight_to_fp16_palettized")];
+            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(315360576)))];
+            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_palettized, 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<fp16, [1024, 2048]> text_projection_linear_fc2_weight_to_fp16_palettized = constexpr_lut_to_dense(indices = tensor<uint8, [1024, 2048]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(315364736))), lut = tensor<fp16, [1, 1, 256, 1]>(BLOBFILE(path = string("@model_path/weights/weight.bin"), offset = uint64(317461952))))[name = string("text_projection_linear_fc2_weight_to_fp16_palettized")];
+            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(317462528)))];
+            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_palettized, 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])];

TextProjector.mlmodelc/weights/weight.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47aca0de6e40c2f27011bbb728eb7840333dd19873707f5aab75c32460aae610
-size 634919296
+oid sha256:78ece3af64cde140b4a2fecdb4117461956b6887cff95d060adf23168b2f93d3
+size 317464640

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:03655ac47f8e1f7bea790679631c9f4d1b9c92cdb84e3a06319e3cf10b201067
-size 4474
+oid sha256:86d06ed00dbe64b936ca84383c7d6e9367d8fb391cbface708a313c2152adbea
+size 5285

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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47aca0de6e40c2f27011bbb728eb7840333dd19873707f5aab75c32460aae610
-size 634919296
+oid sha256:78ece3af64cde140b4a2fecdb4117461956b6887cff95d060adf23168b2f93d3
+size 317464640

TextProjector.mlpackage/Manifest.json

@@ -1,18 +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": {
+        "63AF600F-F5C3-4035-8731-F105705B39B9": {
             "author": "com.apple.CoreML",
             "description": "CoreML Model Specification",
             "name": "model.mlmodel",
             "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "D159723B-EE35-4DAB-846D-3F31291C8E4B": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
+            "name": "weights",
+            "path": "com.apple.CoreML/weights"
         }
     },
-    "rootModelIdentifier": "D5A322E4-A189-4F13-B0D0-35C114E36DD0"
+    "rootModelIdentifier": "63AF600F-F5C3-4035-8731-F105705B39B9"
 }