Global

This is a port of dipa-studio/ios-sweet (Apple's open-source XNU kernel, xnu-8796, on a Redmi Note 10 Pro) to the Xiaomi Redmi Note 12 4G (topaz / tapas, Qualcomm SM6225 "khaje" / Snapdragon 685).

Open-source iOS / macOS compatibility layer for Diablo II: Resurrected with the Reign of the Warlock expansion. Runs your own Switch copy natively on iPhone, iPad and Mac — full touch controls, 60 fps, new endgame modes. Bring your own game files.

Part of the SwitchGamesRecomp work (same runtime, see docs/FRAMEWORK.md); this repo follows Wonder alone. Living log: PROGRESS.md.

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection.

Run the upstream Omarchy desktop as a native, hardware-accelerated app on an Apple Silicon Mac.

8-Flash-Next — a 176B-parameter model (125B main + 51B n-gram, 6B active) — on one NVIDIA DGX Spark / ASUS GX10 with vLLM, at full prefill speed, with MTP speculative decoding, working prefix caching, deterministic greedy decoding, and up to 500k tokens of context.

IR Framework is a practical solution for implementing JIT in medium-size projects. It defines Intermediate Representation (IR), provides a simple API for IR construction and a set of algorithms for optimization, scheduling, register allocation and code generation.

JSON is everywhere on the Internet. Servers spend a lot of time parsing it. We need a fresh approach.

This is a tutorial series for hobby OS developers who are new to ARM's 64 bit [ARMv8-A architecture]. The tutorials will give a guided, step-by-step tour of how to write a [monolithic] Operating System kernel for an embedded system from scratch.

8-27B with SGLang in Docker on an NVIDIA DGX Spark (GB10, aarch64). Three swap-in serving modes — EAGLE/MTP, DSpark, or DFlash2 — with every tuning choice measured on-device instead of guessed.

04. This repository is a public archive. > > No further development or downloads are planned.

The 2024 iPad Pro, featuring the Apple M4 chip, is the first device available to the public that supports ARM's scalable matrix extension (SME). Although Apple has included a matrix accelerator in its devices since 2019, it used a proprietary instruction set called AMX[^1].

This repo contains the launcher, server and configuration. The model weights live on Hugging Face (see Model cards) and the inference engine is our exllamav3 fork (DFlash2/MTP drafting, NVFP4/FP8 KV, aarch64 GB10 + x86 CUDA).

Assumes both Sparks are through DGX OS first-boot, the QSFP DAC is plugged (before power-on!), and you can SSH between them.