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MFQ Studio 0.2.0
MFQ Studio 0.2.0
This release expands the MFQ Studio native runtime, multimodal model support, and high-throughput inference paths.
Highlights
- Adds native Flash-Next multimodal inference, DeepSeek V4 vision with DSpark MTP, and new Qwen4/Qwen3.5 runtime paths.
- Adds Qwen continuous batching with paged KV cache, cancellation-safe lifecycle handling, and batched greedy sampling.
- Adds tensor- and expert-parallel CUDA graph support, with improved multi-GPU peer copies and output reduction.
- Accelerates mixed-precision MoE and NINT/NVQ kernels across CUDA and Metal, including small-batch decode and prefill paths.
- Redesigns the Studio backend console, streams quantization output, and makes model status clearer.
- Refactors and internalizes the native text runtime while unifying model graph and CUDA runtime components.
Downloads
MFQ.Studio_0.2.0_x64-setup.exe— Windows x64 (CUDA)MFQ.Studio_0.2.0_aarch64.dmg— macOS Apple Silicon
Build information
- Commit:
477cc0666ccd52f2937799568172f0114c6a6553 - Tag:
v0.2.0 - Windows SHA-256:
d723a5cf71882867776563b98466f7474224887660717bc57f7bde213ea865b6 - macOS SHA-256:
2eb00bb2d8b0cc8e48deddc5b9ba9044487d2184dd97a62d2e5ffc261f66b4ea
The macOS build is ad-hoc signed and is not Apple-notarized. On first launch, macOS may require Control-clicking the app and choosing Open.