diff --git a/skainet-backends/skainet-backend-cpu/api/jvm/skainet-backend-cpu.api b/skainet-backends/skainet-backend-cpu/api/jvm/skainet-backend-cpu.api
index 7f4996ba..9c6883d8 100644
--- a/skainet-backends/skainet-backend-cpu/api/jvm/skainet-backend-cpu.api
+++ b/skainet-backends/skainet-backend-cpu/api/jvm/skainet-backend-cpu.api
@@ -24,6 +24,7 @@ public final class sk/ainet/context/DirectCpuExecutionContext : sk/ainet/context
 	public fun getPhase ()Lsk/ainet/context/Phase;
 	public fun getScratch ()Lsk/ainet/lang/tensor/scratch/ScratchPool;
 	public fun getTensorDataFactory ()Lsk/ainet/lang/tensor/data/TensorDataFactory;
+	public fun isRecording ()Z
 	public fun ones (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun placeholder (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun registerObserver (Lsk/ainet/context/ExecutionObserver;)V
@@ -54,6 +55,7 @@ public final class sk/ainet/exec/kernel/PanamaVectorKernelProvider : sk/ainet/ba
 	public fun matmulFp32 ()Lsk/ainet/backend/api/kernel/Fp32MatmulKernel;
 	public fun matmulQ4K ()Lsk/ainet/backend/api/kernel/Q4KMatmulKernel;
 	public fun matmulQ4_0 ()Lsk/ainet/backend/api/kernel/Q4_0MatmulKernel;
+	public fun matmulQ5K ()Lsk/ainet/backend/api/kernel/Q5KMatmulKernel;
 	public fun matmulQ5_0 ()Lsk/ainet/backend/api/kernel/Q5_0MatmulKernel;
 	public fun matmulQ5_1 ()Lsk/ainet/backend/api/kernel/Q5_1MatmulKernel;
 	public fun matmulQ6K ()Lsk/ainet/backend/api/kernel/Q6KMatmulKernel;
@@ -70,6 +72,7 @@ public final class sk/ainet/exec/kernel/PanamaVectorKernelProviderFactory : sk/a
 	public fun matmulFp32 ()Lsk/ainet/backend/api/kernel/Fp32MatmulKernel;
 	public fun matmulQ4K ()Lsk/ainet/backend/api/kernel/Q4KMatmulKernel;
 	public fun matmulQ4_0 ()Lsk/ainet/backend/api/kernel/Q4_0MatmulKernel;
+	public fun matmulQ5K ()Lsk/ainet/backend/api/kernel/Q5KMatmulKernel;
 	public fun matmulQ5_0 ()Lsk/ainet/backend/api/kernel/Q5_0MatmulKernel;
 	public fun matmulQ5_1 ()Lsk/ainet/backend/api/kernel/Q5_1MatmulKernel;
 	public fun matmulQ6K ()Lsk/ainet/backend/api/kernel/Q6KMatmulKernel;
@@ -102,6 +105,11 @@ public final class sk/ainet/exec/kernel/PanamaVectorQ5_1MatmulKernel : sk/ainet/
 	public fun matmul ([FI[BIII[FI)V
 }
 
+public final class sk/ainet/exec/kernel/PanamaVectorQ5_KMatmulKernel : sk/ainet/backend/api/kernel/Q5KMatmulKernel {
+	public static final field INSTANCE Lsk/ainet/exec/kernel/PanamaVectorQ5_KMatmulKernel;
+	public fun matmul ([FI[BIII[FI)V
+}
+
 public final class sk/ainet/exec/kernel/PanamaVectorQ6_KMatmulKernel : sk/ainet/backend/api/kernel/Q6KMatmulKernel {
 	public static final field INSTANCE Lsk/ainet/exec/kernel/PanamaVectorQ6_KMatmulKernel;
 	public fun matmul ([FI[BIII[FI)V
@@ -126,6 +134,7 @@ public final class sk/ainet/exec/kernel/ScalarKernelProvider : sk/ainet/backend/
 	public fun matmulFp32 ()Lsk/ainet/backend/api/kernel/Fp32MatmulKernel;
 	public fun matmulQ4K ()Lsk/ainet/backend/api/kernel/Q4KMatmulKernel;
 	public fun matmulQ4_0 ()Lsk/ainet/backend/api/kernel/Q4_0MatmulKernel;
+	public fun matmulQ5K ()Lsk/ainet/backend/api/kernel/Q5KMatmulKernel;
 	public fun matmulQ5_0 ()Lsk/ainet/backend/api/kernel/Q5_0MatmulKernel;
 	public fun matmulQ5_1 ()Lsk/ainet/backend/api/kernel/Q5_1MatmulKernel;
 	public fun matmulQ6K ()Lsk/ainet/backend/api/kernel/Q6KMatmulKernel;
@@ -142,6 +151,7 @@ public final class sk/ainet/exec/kernel/ScalarKernelProviderFactory : sk/ainet/b
 	public fun matmulFp32 ()Lsk/ainet/backend/api/kernel/Fp32MatmulKernel;
 	public fun matmulQ4K ()Lsk/ainet/backend/api/kernel/Q4KMatmulKernel;
 	public fun matmulQ4_0 ()Lsk/ainet/backend/api/kernel/Q4_0MatmulKernel;
+	public fun matmulQ5K ()Lsk/ainet/backend/api/kernel/Q5KMatmulKernel;
 	public fun matmulQ5_0 ()Lsk/ainet/backend/api/kernel/Q5_0MatmulKernel;
 	public fun matmulQ5_1 ()Lsk/ainet/backend/api/kernel/Q5_1MatmulKernel;
 	public fun matmulQ6K ()Lsk/ainet/backend/api/kernel/Q6KMatmulKernel;
@@ -174,6 +184,11 @@ public final class sk/ainet/exec/kernel/ScalarQ5_1MatmulKernel : sk/ainet/backen
 	public fun matmul ([FI[BIII[FI)V
 }
 
+public final class sk/ainet/exec/kernel/ScalarQ5_KMatmulKernel : sk/ainet/backend/api/kernel/Q5KMatmulKernel {
+	public static final field INSTANCE Lsk/ainet/exec/kernel/ScalarQ5_KMatmulKernel;
+	public fun matmul ([FI[BIII[FI)V
+}
+
 public final class sk/ainet/exec/kernel/ScalarQ6_KMatmulKernel : sk/ainet/backend/api/kernel/Q6KMatmulKernel {
 	public static final field INSTANCE Lsk/ainet/exec/kernel/ScalarQ6_KMatmulKernel;
 	public fun matmul ([FI[BIII[FI)V
@@ -287,6 +302,21 @@ public final class sk/ainet/exec/tensor/ops/JvmTurboQuantKernels {
 	public final fun walshHadamardButterfly ([FII)V
 }
 
+public final class sk/ainet/exec/tensor/ops/KernelProfile {
+	public static final field INSTANCE Lsk/ainet/exec/tensor/ops/KernelProfile;
+	public final fun getFp32Calls ()J
+	public final fun getFp32Nanos ()J
+	public final fun getGenericCalls ()J
+	public final fun getGenericNanos ()J
+	public final fun getQuantCalls ()J
+	public final fun getQuantNanos ()J
+	public final fun report ()Ljava/lang/String;
+	public final fun reset ()V
+	public final fun timeFp32 (Lkotlin/jvm/functions/Function0;)Ljava/lang/Object;
+	public final fun timeGeneric (Lkotlin/jvm/functions/Function0;)Ljava/lang/Object;
+	public final fun timeQuant (Lkotlin/jvm/functions/Function0;)Ljava/lang/Object;
+}
+
 public final class sk/ainet/java/SKaiNET {
 	public static final field INSTANCE Lsk/ainet/java/SKaiNET;
 	public static final fun context ()Lsk/ainet/context/ExecutionContext;
diff --git a/skainet-backends/skainet-backend-native-cpu/build.gradle.kts b/skainet-backends/skainet-backend-native-cpu/build.gradle.kts
index 6bd68dd9..c3d6f22a 100644
--- a/skainet-backends/skainet-backend-native-cpu/build.gradle.kts
+++ b/skainet-backends/skainet-backend-native-cpu/build.gradle.kts
@@ -146,6 +146,23 @@ tasks.matching { it.name.startsWith("link") && it.name.endsWith("LinuxX64") }.co
     dependsOn(buildNativeKernels)
 }
 
+// The linuxX64/linuxArm64 K/N *test* binaries link the CMake static archive and
+// execute a Linux ELF. On a non-Linux host the CMake build emits host-format
+// objects (Mach-O on macOS), which ld.lld cannot cross-link into a Linux binary,
+// and a Linux .kexe cannot be executed anyway. Disable the K/N test link + run
+// on non-Linux hosts so `build`/`allTests` stay green locally; klib compilation
+// (compileKotlinLinux*) and publishing are unaffected, and the native NEON parity
+// suite still runs on Linux CI / qemu-aarch64 / the SL2610 board. Mirrors the
+// existing `-PcrossArm64` opt-in gating for the aarch64 cross artifacts.
+val isLinuxHost: Boolean = System.getProperty("os.name").lowercase().contains("linux")
+if (!isLinuxHost) {
+    tasks.matching {
+        (it.name.startsWith("link") && it.name.contains("Test") &&
+            (it.name.endsWith("LinuxX64") || it.name.endsWith("LinuxArm64"))) ||
+            it.name == "linuxX64Test" || it.name == "linuxArm64Test"
+    }.configureEach { enabled = false }
+}
+
 val packageNativeKernels by tasks.registering(Copy::class) {
     group = "build"
     description = "Stage the built native kernels library into JVM resources."
diff --git a/skainet-compile/skainet-compile-dag/api/jvm/skainet-compile-dag.api b/skainet-compile/skainet-compile-dag/api/jvm/skainet-compile-dag.api
index c7fdaeb8..9bd0f858 100644
--- a/skainet-compile/skainet-compile-dag/api/jvm/skainet-compile-dag.api
+++ b/skainet-compile/skainet-compile-dag/api/jvm/skainet-compile-dag.api
@@ -82,15 +82,19 @@ public final class sk/ainet/lang/graph/DefaultGradientTape : sk/ainet/lang/graph
 	public fun conv1dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun conv2dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun conv3dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public fun convTranspose1dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun copy ()Lsk/ainet/tape/ExecutionTape;
+	public fun cosBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun divScalarBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun divideBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun eluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun expBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun expm1Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun flattenBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public fun gatherBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun geluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun getComputeGradients ()Z
+	public fun indexSelectBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun leakyReluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun log10Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun log2Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
@@ -116,6 +120,7 @@ public final class sk/ainet/lang/graph/DefaultGradientTape : sk/ainet/lang/graph
 	public fun scaledDotProductAttentionBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun sigmoidBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun siluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public fun sinBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun softmaxBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun splitBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun sqrtBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
@@ -127,6 +132,8 @@ public final class sk/ainet/lang/graph/DefaultGradientTape : sk/ainet/lang/graph
 	public final fun suppressRecording ()V
 	public fun tanhBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun transposeBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public fun trilBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public fun unfoldBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun unsqueezeBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun upsample2dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public fun varianceBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
@@ -280,6 +287,24 @@ public final class sk/ainet/lang/graph/GraphNode {
 public abstract interface class sk/ainet/lang/graph/Layout {
 }
 
+public final class sk/ainet/lang/graph/OutputDesignatedGraph : sk/ainet/lang/graph/ComputeGraph {
+	public fun <init> (Lsk/ainet/lang/graph/ComputeGraph;Ljava/util/Set;)V
+	public fun addEdge (Lsk/ainet/lang/graph/GraphEdge;)Lsk/ainet/lang/graph/GraphEdge;
+	public fun addNode (Lsk/ainet/lang/graph/GraphNode;)Lsk/ainet/lang/graph/GraphNode;
+	public fun clear ()V
+	public fun copy ()Lsk/ainet/lang/graph/ComputeGraph;
+	public fun getEdges ()Ljava/util/List;
+	public fun getInputNodes ()Ljava/util/List;
+	public fun getInputNodes (Lsk/ainet/lang/graph/GraphNode;)Ljava/util/List;
+	public fun getNodes ()Ljava/util/List;
+	public fun getOutputNodes ()Ljava/util/List;
+	public fun getOutputNodes (Lsk/ainet/lang/graph/GraphNode;)Ljava/util/List;
+	public fun getTopologicalOrder ()Ljava/util/List;
+	public fun removeEdge (Lsk/ainet/lang/graph/GraphEdge;)Z
+	public fun removeNode (Lsk/ainet/lang/graph/GraphNode;)Z
+	public fun validate ()Lsk/ainet/lang/tensor/ops/ValidationResult;
+}
+
 public final class sk/ainet/lang/graph/ResolvedComputeGraph {
 	public fun <init> (Lsk/ainet/lang/graph/ComputeGraph;)V
 	public final fun backendAssignment (Ljava/lang/String;)Ljava/lang/String;
diff --git a/skainet-compile/skainet-compile-opt/api/jvm/skainet-compile-opt.api b/skainet-compile/skainet-compile-opt/api/jvm/skainet-compile-opt.api
index f0f36daf..331ca256 100644
--- a/skainet-compile/skainet-compile-opt/api/jvm/skainet-compile-opt.api
+++ b/skainet-compile/skainet-compile-opt/api/jvm/skainet-compile-opt.api
@@ -47,6 +47,10 @@ public final class sk/ainet/compile/opt/GraphOptimizationResult {
 	public fun toString ()Ljava/lang/String;
 }
 
+public final class sk/ainet/compile/opt/GraphPruningKt {
+	public static final fun prunedToOutputs (Lsk/ainet/lang/graph/ComputeGraph;Ljava/util/Set;)Lsk/ainet/lang/graph/ComputeGraph;
+}
+
 public final class sk/ainet/compile/opt/passes/ConstantFoldingPass : sk/ainet/compile/opt/GraphOptimizationPass {
 	public fun <init> ()V
 	public fun apply (Lsk/ainet/lang/graph/ComputeGraph;)Lsk/ainet/compile/opt/GraphOptimizationResult;
diff --git a/skainet-lang/skainet-lang-core/api/jvm/skainet-lang-core.api b/skainet-lang/skainet-lang-core/api/jvm/skainet-lang-core.api
index c2c2a1be..eba0f5f7 100644
--- a/skainet-lang/skainet-lang-core/api/jvm/skainet-lang-core.api
+++ b/skainet-lang/skainet-lang-core/api/jvm/skainet-lang-core.api
@@ -211,6 +211,7 @@ public final class sk/ainet/context/DefaultDataExecutionContext : sk/ainet/conte
 	public fun getPhase ()Lsk/ainet/context/Phase;
 	public fun getScratch ()Lsk/ainet/lang/tensor/scratch/ScratchPool;
 	public fun getTensorDataFactory ()Lsk/ainet/lang/tensor/data/TensorDataFactory;
+	public fun isRecording ()Z
 	public fun ones (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun placeholder (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun registerObserver (Lsk/ainet/context/ExecutionObserver;)V
@@ -238,6 +239,7 @@ public abstract interface class sk/ainet/context/ExecutionContext {
 	public abstract fun getPhase ()Lsk/ainet/context/Phase;
 	public fun getScratch ()Lsk/ainet/lang/tensor/scratch/ScratchPool;
 	public abstract fun getTensorDataFactory ()Lsk/ainet/lang/tensor/data/TensorDataFactory;
+	public fun isRecording ()Z
 	public fun ones (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun placeholder (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun registerObserver (Lsk/ainet/context/ExecutionObserver;)V
@@ -259,6 +261,7 @@ public final class sk/ainet/context/ExecutionContext$DefaultImpls {
 	public static fun getMemoryPlanner (Lsk/ainet/context/ExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryPlanner;
 	public static fun getMemoryTracker (Lsk/ainet/context/ExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryTracker;
 	public static fun getScratch (Lsk/ainet/context/ExecutionContext;)Lsk/ainet/lang/tensor/scratch/ScratchPool;
+	public static fun isRecording (Lsk/ainet/context/ExecutionContext;)Z
 	public static fun ones (Lsk/ainet/context/ExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun placeholder (Lsk/ainet/context/ExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun registerObserver (Lsk/ainet/context/ExecutionContext;Lsk/ainet/context/ExecutionObserver;)V
@@ -362,6 +365,7 @@ public final class sk/ainet/context/PhaseOverridingExecutionContext : sk/ainet/c
 	public fun getPhase ()Lsk/ainet/context/Phase;
 	public fun getScratch ()Lsk/ainet/lang/tensor/scratch/ScratchPool;
 	public fun getTensorDataFactory ()Lsk/ainet/lang/tensor/data/TensorDataFactory;
+	public fun isRecording ()Z
 	public fun ones (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun placeholder (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun registerObserver (Lsk/ainet/context/ExecutionObserver;)V
@@ -405,6 +409,7 @@ public final class sk/ainet/context/TrainingExecutionContext$DefaultImpls {
 	public static fun getMemoryPlanner (Lsk/ainet/context/TrainingExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryPlanner;
 	public static fun getMemoryTracker (Lsk/ainet/context/TrainingExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryTracker;
 	public static fun getScratch (Lsk/ainet/context/TrainingExecutionContext;)Lsk/ainet/lang/tensor/scratch/ScratchPool;
+	public static fun isRecording (Lsk/ainet/context/TrainingExecutionContext;)Z
 	public static fun ones (Lsk/ainet/context/TrainingExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun placeholder (Lsk/ainet/context/TrainingExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun registerObserver (Lsk/ainet/context/TrainingExecutionContext;Lsk/ainet/context/ExecutionObserver;)V
@@ -759,6 +764,7 @@ public final class sk/ainet/lang/nn/DefaultNeuralNetworkExecutionContext : sk/ai
 	public fun getPhase ()Lsk/ainet/context/Phase;
 	public fun getScratch ()Lsk/ainet/lang/tensor/scratch/ScratchPool;
 	public fun getTensorDataFactory ()Lsk/ainet/lang/tensor/data/TensorDataFactory;
+	public fun isRecording ()Z
 	public fun ones (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun placeholder (Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public fun registerObserver (Lsk/ainet/context/ExecutionObserver;)V
@@ -945,6 +951,19 @@ public final class sk/ainet/lang/nn/GroupedConvInfo {
 	public fun toString ()Ljava/lang/String;
 }
 
+public final class sk/ainet/lang/nn/Gru : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
+	public fun <init> (IILjava/lang/String;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;)V
+	public fun <init> (IILjava/lang/String;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Z)V
+	public synthetic fun <init> (IILjava/lang/String;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;ZILkotlin/jvm/internal/DefaultConstructorMarker;)V
+	public fun <init> (IILsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;)V
+	public final fun getHiddenSize ()I
+	public final fun getInputSize ()I
+	public fun getModules ()Ljava/util/List;
+	public fun getName ()Ljava/lang/String;
+	public fun getParams ()Ljava/util/List;
+	public final fun getTrainable ()Z
+}
+
 public final class sk/ainet/lang/nn/Input : sk/ainet/lang/nn/Module {
 	public fun <init> ()V
 	public fun <init> (Ljava/lang/String;Z)V
@@ -1053,6 +1072,7 @@ public final class sk/ainet/lang/nn/NeuralNetworkExecutionContext$DefaultImpls {
 	public static fun getMemoryPlanner (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryPlanner;
 	public static fun getMemoryTracker (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;)Lsk/ainet/lang/tensor/storage/MemoryTracker;
 	public static fun getScratch (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;)Lsk/ainet/lang/tensor/scratch/ScratchPool;
+	public static fun isRecording (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;)Z
 	public static fun ones (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun placeholder (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;Lsk/ainet/lang/tensor/Shape;Lkotlin/reflect/KClass;)Lsk/ainet/lang/tensor/Tensor;
 	public static fun registerObserver (Lsk/ainet/lang/nn/NeuralNetworkExecutionContext;Lsk/ainet/context/ExecutionObserver;)V
@@ -1521,6 +1541,19 @@ public final class sk/ainet/lang/nn/dsl/FlattenImpl : sk/ainet/lang/nn/dsl/FLATT
 	public fun setStartDim (I)V
 }
 
+public abstract interface class sk/ainet/lang/nn/dsl/GRU : sk/ainet/lang/nn/dsl/NetworkDslItem {
+	public abstract fun getTrainable ()Z
+	public abstract fun setTrainable (Z)V
+}
+
+public final class sk/ainet/lang/nn/dsl/GruImpl : sk/ainet/lang/nn/dsl/GRU {
+	public fun <init> (Lsk/ainet/context/ExecutionContext;IILjava/lang/String;Lkotlin/reflect/KClass;)V
+	public final fun create ()Lsk/ainet/lang/nn/Gru;
+	public fun getExecutionContext ()Lsk/ainet/context/ExecutionContext;
+	public fun getTrainable ()Z
+	public fun setTrainable (Z)V
+}
+
 public abstract interface class sk/ainet/lang/nn/dsl/MAXPOOL2D : sk/ainet/lang/nn/dsl/NetworkDslItem {
 	public abstract fun getKernelSize ()Lkotlin/Pair;
 	public abstract fun getPadding ()Lkotlin/Pair;
@@ -1592,6 +1625,8 @@ public abstract interface class sk/ainet/lang/nn/dsl/NeuralNetworkDsl : sk/ainet
 	public static synthetic fun flatten$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;Ljava/lang/String;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)V
 	public abstract fun groupNorm (IIDZLjava/lang/String;)V
 	public static synthetic fun groupNorm$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;IIDZLjava/lang/String;ILjava/lang/Object;)V
+	public abstract fun gru (ILjava/lang/String;Lkotlin/jvm/functions/Function1;)V
+	public static synthetic fun gru$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;ILjava/lang/String;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)V
 	public abstract fun input (ILjava/lang/String;Z)V
 	public fun input ([ILjava/lang/String;Z)V
 	public static synthetic fun input$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;ILjava/lang/String;ZILjava/lang/Object;)V
@@ -1627,6 +1662,7 @@ public final class sk/ainet/lang/nn/dsl/NeuralNetworkDsl$DefaultImpls {
 	public static synthetic fun dense$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;Ljava/lang/String;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)V
 	public static synthetic fun flatten$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;Ljava/lang/String;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)V
 	public static synthetic fun groupNorm$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;IIDZLjava/lang/String;ILjava/lang/Object;)V
+	public static synthetic fun gru$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;ILjava/lang/String;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)V
 	public static fun input (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;[ILjava/lang/String;Z)V
 	public static synthetic fun input$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;ILjava/lang/String;ZILjava/lang/Object;)V
 	public static synthetic fun input$default (Lsk/ainet/lang/nn/dsl/NeuralNetworkDsl;[ILjava/lang/String;ZILjava/lang/Object;)V
@@ -1659,6 +1695,7 @@ public final class sk/ainet/lang/nn/dsl/NeuralNetworkDslImpl : sk/ainet/lang/nn/
 	public final fun getLastDimension ()I
 	public final fun getModules ()Ljava/util/List;
 	public fun groupNorm (IIDZLjava/lang/String;)V
+	public fun gru (ILjava/lang/String;Lkotlin/jvm/functions/Function1;)V
 	public fun input (ILjava/lang/String;Z)V
 	public fun input ([ILjava/lang/String;Z)V
 	public fun layerNorm ([IDZLjava/lang/String;)V
@@ -1700,6 +1737,7 @@ public final class sk/ainet/lang/nn/dsl/StageImpl : sk/ainet/lang/nn/dsl/NeuralN
 	public final fun getLastDimension ()I
 	public final fun getModules ()Ljava/util/List;
 	public fun groupNorm (IIDZLjava/lang/String;)V
+	public fun gru (ILjava/lang/String;Lkotlin/jvm/functions/Function1;)V
 	public fun input (ILjava/lang/String;Z)V
 	public fun input ([ILjava/lang/String;Z)V
 	public fun layerNorm ([IDZLjava/lang/String;)V
@@ -3226,6 +3264,69 @@ public final class sk/ainet/lang/tensor/data/Q5_1TensorData$DefaultImpls {
 	public static fun copyToFloatArray (Lsk/ainet/lang/tensor/data/Q5_1TensorData;)[F
 }
 
+public final class sk/ainet/lang/tensor/data/Q5_KBlockTensorData : sk/ainet/lang/tensor/data/Q5_KTensorData, sk/ainet/lang/tensor/storage/PackedBlockStorage {
+	public static final field Companion Lsk/ainet/lang/tensor/data/Q5_KBlockTensorData$Companion;
+	public fun <init> (Lsk/ainet/lang/tensor/Shape;[B)V
+	public fun copyToFloatArray ()[F
+	public fun dequantizeBlock (I[FI)V
+	public fun get ([I)Ljava/lang/Byte;
+	public synthetic fun get ([I)Ljava/lang/Object;
+	public fun getBlockCount ()I
+	public fun getBlockD (I)F
+	public fun getBlockDMin (I)F
+	public fun getBlockSize ()I
+	public fun getCode (II)I
+	public fun getElementCount ()J
+	public fun getEncoding ()Lsk/ainet/lang/tensor/storage/TensorEncoding;
+	public fun getPackedData ()[B
+	public fun getPhysicalBytes ()J
+	public fun getShape ()Lsk/ainet/lang/tensor/Shape;
+	public fun getSubBlockMin (II)F
+	public fun getSubBlockScale (II)F
+	public fun set ([IB)V
+	public synthetic fun set ([ILjava/lang/Object;)V
+	public fun toFloatArray ()[F
+	public fun toTensorStorage (Lsk/ainet/lang/tensor/storage/LogicalDType;Lsk/ainet/lang/tensor/storage/Placement;)Lsk/ainet/lang/tensor/storage/TensorStorage;
+}
+
+public final class sk/ainet/lang/tensor/data/Q5_KBlockTensorData$Companion {
+	public final fun fromRawBytes (Lsk/ainet/lang/tensor/Shape;[B)Lsk/ainet/lang/tensor/data/Q5_KBlockTensorData;
+}
+
+public abstract interface class sk/ainet/lang/tensor/data/Q5_KTensorData : sk/ainet/lang/tensor/data/TensorData {
+	public static final field BLOCK_SIZE I
+	public static final field BYTES_PER_BLOCK I
+	public static final field Companion Lsk/ainet/lang/tensor/data/Q5_KTensorData$Companion;
+	public static final field QH_OFFSET I
+	public static final field QS_OFFSET I
+	public static final field SUB_BLOCKS_PER_BLOCK I
+	public static final field SUB_BLOCK_SIZE I
+	public abstract fun getBlockCount ()I
+	public abstract fun getBlockD (I)F
+	public abstract fun getBlockDMin (I)F
+	public abstract fun getCode (II)I
+	public abstract fun getPackedData ()[B
+	public abstract fun getSubBlockMin (II)F
+	public abstract fun getSubBlockScale (II)F
+}
+
+public final class sk/ainet/lang/tensor/data/Q5_KTensorData$Companion {
+	public static final field BLOCK_SIZE I
+	public static final field BYTES_PER_BLOCK I
+	public static final field QH_OFFSET I
+	public static final field QS_OFFSET I
+	public static final field SUB_BLOCKS_PER_BLOCK I
+	public static final field SUB_BLOCK_SIZE I
+}
+
+public final class sk/ainet/lang/tensor/data/Q5_KTensorData$DefaultImpls {
+	public static fun copyToFloatArray (Lsk/ainet/lang/tensor/data/Q5_KTensorData;)[F
+}
+
+public final class sk/ainet/lang/tensor/data/Q5_KTensorDataKt {
+	public static final fun toFloatArray (Lsk/ainet/lang/tensor/data/Q5_KTensorData;)[F
+}
+
 public final class sk/ainet/lang/tensor/data/Q6_KBlockTensorData : sk/ainet/lang/tensor/data/Q6_KTensorData, sk/ainet/lang/tensor/storage/PackedBlockStorage {
 	public static final field Companion Lsk/ainet/lang/tensor/data/Q6_KBlockTensorData$Companion;
 	public fun <init> (Lsk/ainet/lang/tensor/Shape;[B)V
@@ -3358,6 +3459,10 @@ public final class sk/ainet/lang/tensor/data/Q8_0TensorDataKt {
 	public static final fun toFloatArray (Lsk/ainet/lang/tensor/data/Q8_0TensorData;)[F
 }
 
+public abstract interface class sk/ainet/lang/tensor/data/RowDequantSource {
+	public abstract fun dequantRow (I)[F
+}
+
 public abstract interface class sk/ainet/lang/tensor/data/TensorData : sk/ainet/lang/tensor/data/ItemsAccessor {
 	public fun copyToFloatArray ()[F
 	public abstract fun getShape ()Lsk/ainet/lang/tensor/Shape;
@@ -3894,13 +3999,17 @@ public abstract interface class sk/ainet/lang/tensor/ops/DifferentiableTensorOps
 	public abstract fun conv1dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun conv2dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun conv3dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun convTranspose1dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun cosBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun divScalarBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun divideBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun eluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun expBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun expm1Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun flattenBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun gatherBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun geluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun indexSelectBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun leakyReluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun log10Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun log2Backward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
@@ -3923,6 +4032,7 @@ public abstract interface class sk/ainet/lang/tensor/ops/DifferentiableTensorOps
 	public abstract fun scaledDotProductAttentionBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun sigmoidBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun siluBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun sinBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun softmaxBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun splitBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun sqrtBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
@@ -3932,11 +4042,18 @@ public abstract interface class sk/ainet/lang/tensor/ops/DifferentiableTensorOps
 	public abstract fun sumBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun tanhBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun transposeBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun trilBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
+	public abstract fun unfoldBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun unsqueezeBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun upsample2dBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 	public abstract fun varianceBackward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Ljava/util/List;Ljava/util/Map;)Ljava/util/List;
 }
 
+public final class sk/ainet/lang/tensor/ops/DifferentiableTensorOpsRules {
+	public static final field INSTANCE Lsk/ainet/lang/tensor/ops/DifferentiableTensorOpsRules;
+	public final fun getRuleNames ()Ljava/util/Set;
+}
+
 public final class sk/ainet/lang/tensor/ops/DivideOperation : sk/ainet/lang/tensor/ops/BaseOperation {
 	public fun <init> ()V
 	public fun <init> (Ljava/util/Map;)V
@@ -4100,12 +4217,6 @@ public abstract interface class sk/ainet/lang/tensor/ops/MixedPrecisionTensorOps
 	public abstract fun convert (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/types/DType;)Lsk/ainet/lang/tensor/Tensor;
 }
 
-public final class sk/ainet/lang/tensor/ops/MixedPrecisionTensorOps$DefaultImpls {
-	public static fun convTranspose1d (Lsk/ainet/lang/tensor/ops/MixedPrecisionTensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIII)Lsk/ainet/lang/tensor/Tensor;
-	public static fun cos (Lsk/ainet/lang/tensor/ops/MixedPrecisionTensorOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
-	public static fun sin (Lsk/ainet/lang/tensor/ops/MixedPrecisionTensorOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
-}
-
 public final class sk/ainet/lang/tensor/ops/MultiplyOperation : sk/ainet/lang/tensor/ops/BaseOperation {
 	public fun <init> ()V
 	public fun <init> (Ljava/util/Map;)V
@@ -4253,10 +4364,10 @@ public abstract interface class sk/ainet/lang/tensor/ops/TensorOps {
 	public static synthetic fun conv2d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Pair;Lkotlin/Pair;Lkotlin/Pair;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun conv3d (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Triple;Lkotlin/Triple;Lkotlin/Triple;I)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun conv3d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Triple;Lkotlin/Triple;Lkotlin/Triple;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
-	public fun convTranspose1d (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIII)Lsk/ainet/lang/tensor/Tensor;
+	public abstract fun convTranspose1d (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIII)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun convTranspose1d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIIIILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun convert (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/types/DType;)Lsk/ainet/lang/tensor/Tensor;
-	public fun cos (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
+	public abstract fun cos (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun divScalar (Lsk/ainet/lang/tensor/Tensor;Ljava/lang/Number;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun divide (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun elu (Lsk/ainet/lang/tensor/Tensor;F)Lsk/ainet/lang/tensor/Tensor;
@@ -4300,7 +4411,7 @@ public abstract interface class sk/ainet/lang/tensor/ops/TensorOps {
 	public abstract fun sigmoid (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun sign (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun silu (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
-	public fun sin (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
+	public abstract fun sin (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun softmax (Lsk/ainet/lang/tensor/Tensor;I)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun softmax$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public abstract fun split (Lsk/ainet/lang/tensor/Tensor;II)Ljava/util/List;
@@ -4328,9 +4439,7 @@ public final class sk/ainet/lang/tensor/ops/TensorOps$DefaultImpls {
 	public static synthetic fun conv1d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIIILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun conv2d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Pair;Lkotlin/Pair;Lkotlin/Pair;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun conv3d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Triple;Lkotlin/Triple;Lkotlin/Triple;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
-	public static fun convTranspose1d (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIII)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun convTranspose1d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIIIILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
-	public static fun cos (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun elu$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;FILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun flatten$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;IIILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun gather$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
@@ -4340,7 +4449,6 @@ public final class sk/ainet/lang/tensor/ops/TensorOps$DefaultImpls {
 	public static synthetic fun maxPool2d$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lkotlin/Pair;Lkotlin/Pair;Lkotlin/Pair;ILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun mean$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Ljava/lang/Integer;ILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun scaledDotProductAttention$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;FZILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
-	public static fun sin (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun softmax$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;IILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun squeeze$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Ljava/lang/Integer;ILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
 	public static synthetic fun sum$default (Lsk/ainet/lang/tensor/ops/TensorOps;Lsk/ainet/lang/tensor/Tensor;Ljava/lang/Integer;ILjava/lang/Object;)Lsk/ainet/lang/tensor/Tensor;
@@ -5324,6 +5432,17 @@ public final class sk/ainet/lang/tensor/storage/TensorEncoding$Q5_1 : sk/ainet/l
 	public fun toString ()Ljava/lang/String;
 }
 
+public final class sk/ainet/lang/tensor/storage/TensorEncoding$Q5_K : sk/ainet/lang/tensor/storage/TensorEncoding {
+	public static final field BLOCK_SIZE I
+	public static final field BYTES_PER_BLOCK I
+	public static final field INSTANCE Lsk/ainet/lang/tensor/storage/TensorEncoding$Q5_K;
+	public fun equals (Ljava/lang/Object;)Z
+	public fun getName ()Ljava/lang/String;
+	public fun hashCode ()I
+	public fun physicalBytes (J)Ljava/lang/Long;
+	public fun toString ()Ljava/lang/String;
+}
+
 public final class sk/ainet/lang/tensor/storage/TensorEncoding$Q6_K : sk/ainet/lang/tensor/storage/TensorEncoding {
 	public static final field BLOCK_SIZE I
 	public static final field BYTES_PER_BLOCK I
diff --git a/skainet-lang/skainet-lang-dag/api/jvm/skainet-lang-dag.api b/skainet-lang/skainet-lang-dag/api/jvm/skainet-lang-dag.api
index 09092260..ab274f2d 100644
--- a/skainet-lang/skainet-lang-dag/api/jvm/skainet-lang-dag.api
+++ b/skainet-lang/skainet-lang-dag/api/jvm/skainet-lang-dag.api
@@ -34,12 +34,6 @@ public final class sk/ainet/lang/dag/GraphDslKt {
 public abstract interface class sk/ainet/lang/dag/GraphDslOps : sk/ainet/lang/tensor/ops/TensorOps {
 }
 
-public final class sk/ainet/lang/dag/GraphDslOps$DefaultImpls {
-	public static fun convTranspose1d (Lsk/ainet/lang/dag/GraphDslOps;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/lang/tensor/Tensor;IIIII)Lsk/ainet/lang/tensor/Tensor;
-	public static fun cos (Lsk/ainet/lang/dag/GraphDslOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
-	public static fun sin (Lsk/ainet/lang/dag/GraphDslOps;Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
-}
-
 public final class sk/ainet/lang/dag/GraphDslOpsGraphDslKt {
 	public static final fun abs (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
 	public static synthetic fun abs$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
@@ -59,6 +53,10 @@ public final class sk/ainet/lang/dag/GraphDslOpsGraphDslKt {
 	public static synthetic fun conv2d$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lkotlin/Pair;Lkotlin/Pair;Lkotlin/Pair;ILjava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun conv3d (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lkotlin/Triple;Lkotlin/Triple;Lkotlin/Triple;ILjava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
 	public static synthetic fun conv3d$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lkotlin/Triple;Lkotlin/Triple;Lkotlin/Triple;ILjava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
+	public static final fun convTranspose1d (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;IIIIILjava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
+	public static synthetic fun convTranspose1d$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;IIIIILjava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
+	public static final fun cos (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
+	public static synthetic fun cos$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun divScalar (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/Number;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
 	public static synthetic fun divScalar$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/Number;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun divide (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
@@ -127,6 +125,8 @@ public final class sk/ainet/lang/dag/GraphDslOpsGraphDslKt {
 	public static synthetic fun sign$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun silu (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
 	public static synthetic fun silu$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
+	public static final fun sin (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
+	public static synthetic fun sin$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun softmax (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;ILjava/lang/String;)Lsk/ainet/lang/dag/GraphValue;
 	public static synthetic fun softmax$default (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;ILjava/lang/String;ILjava/lang/Object;)Lsk/ainet/lang/dag/GraphValue;
 	public static final fun sqrt (Lsk/ainet/lang/dag/DagBuilder;Lsk/ainet/lang/dag/GraphValue;Ljava/lang/String;)Lsk/ainet/lang/dag/GraphValue;