cosim

.gitignore

@@ -0,0 +1 @@
+**/.DS_Store

ane-snowflake-arctic-embed-m/cosim.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb3e825f6ff32e10a3dcd29350cfc95cc9afef69dcf8245a6fd9b3858734185a
+size 243

ane-snowflake-arctic-embed-m/cosim.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb1adc57db8d74ea0d0df8b38ded773ea6b87d63f19815d74b27fc1ba9cebe3b
+size 346

ane-snowflake-arctic-embed-m/cosim.mlmodelc/model.mil

@@ -0,0 +1,9 @@
+program(1.0)
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3304.6.1"}, {"coremlc-version", "3304.7.1"}, {"coremltools-component-torch", "2.1.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
+{
+    func main<ios17>(tensor<fp16, [?, 768]> files, tensor<fp16, [1, 768]> query) [FlexibleShapeInformation = tuple<tuple<tensor<string, []>, dict<tensor<string, []>, tensor<int32, [?]>>>, tuple<tensor<string, []>, dict<tensor<string, []>, list<tensor<int32, [2]>, ?>>>>((("DefaultShapes", {{"files", [1, 768]}}), ("RangeDims", {{"files", [[1, 65536], [768, 768]]}})))] {
+            tensor<bool, []> matmul_0_transpose_x_1 = const()[name = tensor<string, []>("matmul_0_transpose_x_1"), val = tensor<bool, []>(false)];
+            tensor<bool, []> matmul_0_transpose_y_1 = const()[name = tensor<string, []>("matmul_0_transpose_y_1"), val = tensor<bool, []>(true)];
+            tensor<fp16, [1, ?]> outputs = matmul(transpose_x = matmul_0_transpose_x_1, transpose_y = matmul_0_transpose_y_1, x = query, y = files)[name = tensor<string, []>("matmul_0_cast_fp16")];
+        } -> (outputs);
+}

ane-snowflake-arctic-embed-s/cosim.mlmodelc/analytics/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:53b3a6d5a5b89a9c1f5cc3ee3c52ff55252bfdf8c139d7a467a3b2c7b37b0e4b
+size 243

ane-snowflake-arctic-embed-s/cosim.mlmodelc/coremldata.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf87bac0985861835a89e0d6f91a12f11c65a9dce441ae355eb1c6a4f937d7fe
+size 346

ane-snowflake-arctic-embed-s/cosim.mlmodelc/model.mil

@@ -0,0 +1,9 @@
+program(1.0)
+[buildInfo = dict<tensor<string, []>, tensor<string, []>>({{"coremlc-component-MIL", "3304.6.1"}, {"coremlc-version", "3304.7.1"}, {"coremltools-component-torch", "2.1.1"}, {"coremltools-source-dialect", "TorchScript"}, {"coremltools-version", "7.2"}})]
+{
+    func main<ios17>(tensor<fp16, [?, 384]> files, tensor<fp16, [1, 384]> query) [FlexibleShapeInformation = tuple<tuple<tensor<string, []>, dict<tensor<string, []>, tensor<int32, [?]>>>, tuple<tensor<string, []>, dict<tensor<string, []>, list<tensor<int32, [2]>, ?>>>>((("DefaultShapes", {{"files", [1, 384]}}), ("RangeDims", {{"files", [[1, 65536], [384, 384]]}})))] {
+            tensor<bool, []> matmul_0_transpose_x_1 = const()[name = tensor<string, []>("matmul_0_transpose_x_1"), val = tensor<bool, []>(false)];
+            tensor<bool, []> matmul_0_transpose_y_1 = const()[name = tensor<string, []>("matmul_0_transpose_y_1"), val = tensor<bool, []>(true)];
+            tensor<fp16, [1, ?]> outputs = matmul(transpose_x = matmul_0_transpose_x_1, transpose_y = matmul_0_transpose_y_1, x = query, y = files)[name = tensor<string, []>("matmul_0_cast_fp16")];
+        } -> (outputs);
+}