diff --git a/skainet-lang/skainet-lang-core/api/android/skainet-lang-core.api b/skainet-lang/skainet-lang-core/api/android/skainet-lang-core.api
index 79f3a5ad..369d614a 100644
--- a/skainet-lang/skainet-lang-core/api/android/skainet-lang-core.api
+++ b/skainet-lang/skainet-lang-core/api/android/skainet-lang-core.api
@@ -754,7 +754,7 @@ public abstract class sk/ainet/lang/nn/InternalMixedPrecisionModule : sk/ainet/l
 	protected abstract fun forwardImpl (Lsk/ainet/lang/tensor/Tensor;)Lsk/ainet/lang/tensor/Tensor;
 }
 
-public final class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
+public class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
 	public fun <init> (IILjava/lang/String;Lsk/ainet/lang/tensor/Tensor;)V
 	public fun <init> (IILjava/lang/String;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;Z)V
@@ -764,6 +764,7 @@ public final class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/l
 	public fun getName ()Ljava/lang/String;
 	public fun getParams ()Ljava/util/List;
 	public final fun getTrainable ()Z
+	protected fun onForward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/context/ExecutionContext;)Lsk/ainet/lang/tensor/Tensor;
 }
 
 public final class sk/ainet/lang/nn/MaxPool2d : sk/ainet/lang/nn/Module {
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 2b189600..338bceb0 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
@@ -989,7 +989,7 @@ public final class sk/ainet/lang/nn/LayerScale : sk/ainet/lang/nn/Module, sk/ain
 	public fun getParams ()Ljava/util/List;
 }
 
-public final class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
+public class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
 	public fun <init> (IILjava/lang/String;Lsk/ainet/lang/tensor/Tensor;)V
 	public fun <init> (IILjava/lang/String;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;Z)V
@@ -999,6 +999,7 @@ public final class sk/ainet/lang/nn/Linear : sk/ainet/lang/nn/Module, sk/ainet/l
 	public fun getName ()Ljava/lang/String;
 	public fun getParams ()Ljava/util/List;
 	public final fun getTrainable ()Z
+	protected fun onForward (Lsk/ainet/lang/tensor/Tensor;Lsk/ainet/context/ExecutionContext;)Lsk/ainet/lang/tensor/Tensor;
 }
 
 public final class sk/ainet/lang/nn/Lstm : sk/ainet/lang/nn/Module, sk/ainet/lang/nn/topology/ModuleParameters {
diff --git a/skainet-lang/skainet-lang-core/src/commonMain/kotlin/sk/ainet/lang/nn/Linear.kt b/skainet-lang/skainet-lang-core/src/commonMain/kotlin/sk/ainet/lang/nn/Linear.kt
index e55cbfa1..34154fb1 100644
--- a/skainet-lang/skainet-lang-core/src/commonMain/kotlin/sk/ainet/lang/nn/Linear.kt
+++ b/skainet-lang/skainet-lang-core/src/commonMain/kotlin/sk/ainet/lang/nn/Linear.kt
@@ -19,6 +19,9 @@ import sk.ainet.lang.nn.topology.weights
  * heads. A bias-less layer registers only the weight parameter, so parameter
  * counts and checkpoints match architectures defined without bias.
  *
+ * The class is `open` so adapter-style layers (e.g. LoRA) can subclass it and
+ * augment [onForward] or [params] while reusing the base projection.
+ *
  * @param inFeatures Number of input features
  * @param outFeatures Number of output features
  * @param name Name of the module
@@ -26,7 +29,7 @@ import sk.ainet.lang.nn.topology.weights
  * @param initBias Initial bias, or `null` for a layer without bias
  */
 
-public class Linear<T : DType, V> @kotlin.jvm.JvmOverloads constructor(
+public open class Linear<T : DType, V> @kotlin.jvm.JvmOverloads constructor(
     inFeatures: Int,
     outFeatures: Int,
     override val name: String = "Linear",