MFQ Studio 0.3.2

This release focuses on DeepSeek V4.1 Flash raw-HF prefill performance on Apple M3 Ultra, while preserving the 0.3.1 token-generation and MTP paths.

Highlights

Reaches up to 471.1 tok/s warmed prefill for DeepSeek V4.1 Flash raw-HF on a 512 GB Mac Studio M3 Ultra.
Adds an exact FP32 Metal top-k path inspired by DeepSelect for DeepSeek V4.1 sparse attention.
Accelerates large-M MoE prefill with the native sorted-MXFP4 path.
Auto-selects a 5,440-token maximum prefill chunk for the resident M3 Ultra geometry, keeping routed expert rows below the MLX 32,768-row boundary.
Fuses window-KV RMSNorm, partial RoPE, and activation fake quantization.
Keeps the backbone and MoE experts resident in unified memory while offloading only Engram storage to the Mac's internal SSD.
Refreshes the Tylogi AI Lab identity used in the repository documentation.

Measured locally at batch size 1, 32,768-token context, temperature 0, and warmed execution on a 512 GB Apple M3 Ultra:

Model load: 38.6 s.
Prefill: 390.2 / 458.6 / 471.1 tok/s for representative 509 / 2,009 / 15,969-token deterministic repeated raw-completion prompts.
Token generation with MTP off: 18.29 tok/s.
High-acceptance MTP: 33.46 tok/s (+83.0%), with 132/132 drafted tokens accepted and output identical to non-MTP decoding.
Steady-state process RSS after load: approximately 287 GiB.

MTP gains depend on workload predictability and remain disabled by default.

9 Metal component/source tests passed for the DeepSelect, MXFP4, chunk-autotuning, and fused KV preparation paths.
Native AppleClang Release build completed on an Apple M3 Ultra.
Metal runtime self-test, packaged CLI command checks, TypeScript build, Rust checks, Tauri release build, deep code-signature verification, and hdiutil verify all passed.
The packaged app and CLI report version 0.3.2; native executables are arm64.

This macOS build is ad-hoc signed and has not been Apple-notarized.