Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
It brings a classic Nintendo 64 racing game into standalone VR with native stereo rendering, extensive VR settings, and local ROM verification—no PC or cloud required.
XRKart 64 brings Mario Kart 64 racing to standalone VR on Meta Quest.
The APK is provided through the Releases section of this repository.
It is a fan-made VR project built on the work of the SpaghettiKart and LibUltraShip communities. XRKart 64 is not affiliated with or endorsed by Nintendo.
XRKart 64 does not include a ROM or Nintendo-owned game assets. ROM verification and game-data generation happen locally on your headset.
The launcher accepts these N64 ROM byte orders:
.z64.n64.v64The supported ROM is the 12 MiB US release with this normalized SHA-1:
579C48E211AE952530FFC8738709F078D5DD215E
Sideload the XRKart 64 APK with SideQuest or Android Debug Bridge (ADB).
Example ADB command:
adb install -r XRKart-64.apk
After installation, open XRKart 64 from your headset's Unknown Sources or unverified-apps section.
XRKart 64 has been tested on Quest 2 and Quest 3. Other Quest-family headsets listed by the application may work, but should be considered unverified until they have been tested with the current release.
Before opening XRKart 64, copy your legally dumped Mario Kart 64 US ROM to the Downloads folder on your headset. You may use another folder if you prefer, but choose one you can easily find in the headset's file picker.
The first time you open XRKart 64:
Generation can take several minutes. Testing on Quest 2 took approximately eight minutes.
Keep XRKart 64 open and keep the headset awake until it finishes. The progress indicator is intentionally indeterminate: the generated files appear only after the complete generation
Standalone Quest VR racing port. APK only; requires a legal US MK 64 ROM.
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Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.

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