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18 changes: 11 additions & 7 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,6 +11,12 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

## [Unreleased]

## [0.63.1] — 2026-10-22

Against engine **0.62.0**, transformers-only and additive. The Android runtime (`runtime-iree-android`) gains the
incremental Moonshine frontend and a generic single-module IREE runner; it still depends on nothing but the Kotlin
standard library.

### Changed

- **Moonshine streaming: incremental frontend** (`moonshine_stream_jni.c`, `libskainet_moonshine_stream.so` both
Expand All @@ -27,18 +33,16 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
- `native/moonshine_stream_check.c`: drives `libskainet_moonshine_stream.so` on a device without an app (fake
JNIEnv), feeding PCM files paced like a microphone and printing transcript and stats per file.

### Fixed

- `native/build-moonshine-stream.sh` always passes `CMAKE_C_FLAGS`, so a plain build after a `GEOMETRY=…` one no
longer keeps the previous flags from the CMake cache.

### Added

- **`IreeModuleRunner` + `libskainet_iree_module.so`** (`runtime-iree-android`, `arm64-v8a` / `armeabi-v7a`,
CPU and Vulkan drivers): a generic single-shot runner for one compiled IREE module — one float32 tensor in,
one float32 tensor out, weights from an optional `.irpa` (scope `model`). For batch cartridges such as the
`detection-yolov8-iree` blueprint, which extracts the `.so` from this AAR. `FloatTensor` carries data + shape.

### Fixed

- `native/build-moonshine-stream.sh` always passes `CMAKE_C_FLAGS`, so a plain build after a `GEOMETRY=…` one no
longer keeps the previous flags from the CMake cache.

## [0.63.0] — 2026-10-21

Against engine **0.62.0** (the JVM ↔ Kotlin/Wasm parity release: every kernel on the wasm tier, resident
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -113,7 +113,7 @@ Honest status — see the project-status note at the top of this README.

## Current release

The current release is **0.63.0**, against **SKaiNET 0.62.0**: expert heads and routing for Laya — a decision head fine-tuned on top of the frozen encoder (`expert.safetensors` + `expert.json`) loads on its own with `LayaExpertLoader`, any number of heads share one encoder pass per question (`LayaDecisionModel.logitsFrom`), `LayaRouterSpec` + `LayaMixtureAgent` route a request by asking the base head what kind of text it is, and `LayaMixtureDecisionAdapter` puts the mixture behind the typed decision contract; verified against the published layaMOE evaluation. The ModernBERT-large `laya-typed-decisions` checkpoint loads (`position_embedding_type: absolute`). The whisper StableHLO export ships as `WhisperExportCli`. Engine 0.62.0 brings the JVM ↔ Kotlin/Wasm parity: every kernel on the wasm tier, resident activations, fused attention / norms / softmax, browser IO parity. The Laya Q8_0 lane on the desktop JVM with the native provider needs engine 0.62.1 (SKaiNET #1436).
The current release is **0.63.1**, against **SKaiNET 0.62.0**: the streaming Moonshine runtime gains an incremental frontend (an optional `frontend_step.vmfb` takes most of the frontend out of the end-of-utterance flush, transcripts unchanged) and `IreeModuleRunner` runs one compiled IREE module on Android. 0.63.0 brought expert heads and routing for Laya — a decision head fine-tuned on top of the frozen encoder (`expert.safetensors` + `expert.json`) loads on its own with `LayaExpertLoader`, any number of heads share one encoder pass per question (`LayaDecisionModel.logitsFrom`), `LayaRouterSpec` + `LayaMixtureAgent` route a request by asking the base head what kind of text it is, and `LayaMixtureDecisionAdapter` puts the mixture behind the typed decision contract; verified against the published layaMOE evaluation. The ModernBERT-large `laya-typed-decisions` checkpoint loads (`position_embedding_type: absolute`). The whisper StableHLO export ships as `WhisperExportCli`. Engine 0.62.0 brings the JVM ↔ Kotlin/Wasm parity: every kernel on the wasm tier, resident activations, fused attention / norms / softmax, browser IO parity. The Laya Q8_0 lane on the desktop JVM with the native provider needs engine 0.62.1 (SKaiNET #1436).

It builds on **0.62.2**, against **SKaiNET 0.61.0**: a transformers-only fix, the Android runtime's streaming Moonshine libraries are rebuilt with the utterance-start fix (#500; 0.62.0 and 0.62.1 packed the old build, which garbles transcripts on device). It builds on **0.62.1**, a transformers-only fix on 0.62.0, whose JVM `LayaModelLoader.load(directory, …)` had become an extension function that existing callers did not import; it is a member again (`@JvmOverloads`, so Java callers keep the 0.61 signature).

Expand Down Expand Up @@ -303,7 +303,7 @@ The recommended way to consume is via the BOM. It pins every published `skainet-

```kotlin
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))

// Versions resolved from the BOM:
implementation("sk.ainet.transformers:skainet-transformers-core")
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Expand Up @@ -32,7 +32,7 @@ From your own build, resolve the published module and run its main class:
----
val exportTool by configurations.creating
dependencies {
exportTool(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
exportTool(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))
exportTool("sk.ainet.transformers:skainet-transformers-inference-moonshine")
}
tasks.register<JavaExec>("exportMoonshine") {
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2 changes: 1 addition & 1 deletion docs/modules/ROOT/pages/reference/moonshine-encoder.adoc
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Expand Up @@ -24,7 +24,7 @@ a DSL decoder is future work.
[source,kotlin]
----
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))
implementation("sk.ainet.transformers:skainet-transformers-inference-moonshine")
}
----
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2 changes: 1 addition & 1 deletion docs/modules/ROOT/pages/reference/typed-decisions.adoc
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Expand Up @@ -12,7 +12,7 @@ below put that on the JVM path with the same contract for every model.
[source,kotlin]
----
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))
implementation("sk.ainet.transformers:skainet-transformers-decisions-api") // the contract, no engine dependency
implementation("sk.ainet.transformers:skainet-transformers-decisions-runtime") // validation + acceptance policy
implementation("sk.ainet.transformers:skainet-transformers-inference-laya") // Laya as a DecisionAdapter
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Expand Up @@ -55,7 +55,7 @@ dependencies {
// self-registers it on ART at process start — nothing to call.
runtimeOnly("sk.ainet.core:skainet-backend-jni-cpu")

implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))
implementation("sk.ainet.transformers:skainet-transformers-core")
implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
implementation("sk.ainet.transformers:skainet-transformers-inference-llama")
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4 changes: 2 additions & 2 deletions docs/modules/ROOT/pages/tutorials/getting-started-java.adoc
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Expand Up @@ -25,7 +25,7 @@ In your `build.gradle.kts`:
[source,kotlin]
----
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))

implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
implementation("sk.ainet.transformers:skainet-transformers-agent")
Expand All @@ -41,7 +41,7 @@ Or in Maven (Maven needs the `-jvm` classifier suffix on platform artifacts):
<dependency>
<groupId>sk.ainet.transformers</groupId>
<artifactId>skainet-transformers-bom</artifactId>
<version>0.63.0</version>
<version>0.63.1</version>
<type>pom</type>
<scope>import</scope>
</dependency>
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Original file line number Diff line number Diff line change
Expand Up @@ -34,7 +34,7 @@ encoder output to the advertised dimensionality. The runtime applies it automati
[source,kotlin]
----
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))
implementation("sk.ainet.transformers:skainet-transformers-providers")
}
----
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2 changes: 1 addition & 1 deletion docs/modules/ROOT/pages/tutorials/llama3-tool-calling.adoc
Original file line number Diff line number Diff line change
Expand Up @@ -52,7 +52,7 @@ The pieces you need live in three modules:
[source,kotlin]
----
dependencies {
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.0"))
implementation(platform("sk.ainet.transformers:skainet-transformers-bom:0.63.1"))

implementation("sk.ainet.transformers:skainet-transformers-runtime-kllama")
implementation("sk.ainet.transformers:skainet-transformers-agent")
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2 changes: 1 addition & 1 deletion gradle.properties
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
GROUP=sk.ainet.transformers
VERSION_NAME=0.63.0
VERSION_NAME=0.63.1

POM_DESCRIPTION=SKaiNET-transformers

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