This release adds native Qwen3.8 Flash Next inference with qualified mixed-Q2/Q4
and Q4 MLX distributions and verified MTP acceleration. It also makes LTX 2.5
generation substantially more memory-bounded and keeps model inventory fast on
large or externally linked stores.
Text
- added pinned mixed Q2/Q4 and Q4 MLX distributions of
Qwen3.8-Flash-Next. The native Qwen4Exp text path implements four-stream
hyper-connections, PLE n-gram embeddings, grouped normalization, sigmoid
gated-delta output, and exact short-context attention. The mixed artifact is
the qualified 128 GB Mac profile; the larger Q4 artifact is cataloged for
machines with more memory. Both pulls require explicit acknowledgement of
the Qwen Community License 1.0, andmodel pullnow accepts the clearer
--accept-license-termsspelling as an alias for
--accept-model-license. Until QSA selection is integrated, Qwen4Exp fails
closed when prompt plus requested generation exceeds its 2,048-token indexer
budget and image input remains unqualified. The bundled one-layer MTP path is
enabled by default for greedy decode, preserves exact target verification,
and measured 1.43–1.78x faster decode on the mixed checkpoint; set
MERERUN_Q35_MTP_SPECULATION=0for a target-only comparison.
API
- fixed
GET /v1/modelslatency on large or externally linked model stores by
sharing one shallow fast inventory across chat and companion discovery instead
of repeatedly validating every installed runtime.
Video
- reduced LTX-2.5 image-to-video memory pressure with a public, pinned,
self-contained distilled distribution: the video pipeline remains BF16 while
the bundled Gemma 4 language tower uses MLX affine Q4. One accepted model
pull now installs every runtime component without downloading the original
BF16 text tower or asking users to quantize locally. Runtime releases the text
encoder and image VAE as soon as their conditioning tensors are materialized.
SetMERERUN_LTX_MEMORY_TRACE=1to report MLX allocator use at the major
generation phases. - fixed LTX convolutional-VAE decode admission to account for the large
temporary Metal working set of late 3D convolutions. Standard distilled
generation now automatically decodes long or high-resolution clips in
overlapped temporal tiles instead of attempting a full-frame decode that can
exhaust unified memory.
Included pull requests
Downloads
- macOS (Apple Silicon):
MereRun-0.45.0.dmg - Linux CUDA x86_64: tarball or Debian package
The Linux CUDA artifact was validated on an NVIDIA GeForce RTX 3080 Ti with Qwen3 ASR true inference, and the Debian package passed install, upgrade from 0.44.0, removal, and clean reinstall on Ubuntu 24.04.