Siliang Engine v0.1.4 (Experimental)

Siliang Engine v0.1.4

v0.1.4 is a correctness and Windows release-packaging hotfix on top of v0.1.3.
It does not introduce new model-performance claims or change the recommended
v0.1.3 model profiles.

What changed

• Fixed a cross-request K/L2 ownership bug in the SLFU hot-demotion path. With
  K-prefill disabled, prompt processing for a later request can legitimately
  repopulate L2 with an expert that is still warm in K from the preceding
  decode. A later K eviction used to attempt a second L2 store for that expert
  and fail closed with duplicate-resident. The transition worker now
  quiesces L2 before ownership changes and reuses an already-resident L2 copy
  instead of creating a duplicate.
• Expanded fail-closed K/L2 diagnostics so rejected victim stores report the
  rejection stage, layer, expert, and slot rather than collapsing into a
  generic swap failure.
• Enabled the embedded llama.cpp Web UI in Windows release builds. Release
  builds first build the UI from source with npm, may fall back to the verified
  prebuilt UI source, and fail the build if LLAMA_UI_HAS_ASSETS=1 is not
  present in the generated UI header.
• Persisted runtime CPU-dispatch evidence in packaged release provenance so the
  selected packaged CPU backend remains auditable after CI packaging.

Release qualification

The v0.1.4 hotfix was qualified on the Windows CUDA reference workstation with
fresh CPU and CUDA builds.

• Fresh Windows CPU Release build: completed; embedded Web UI verified.
• Fresh Windows CUDA 13.2 sm_75 qualification build: completed; embedded Web
  UI verified.
• Embedded Web UI runtime smoke: GET / returned HTTP 200 with embedded HTML.
• DeepSeek V4 Flash K/L2 multi-request regression:
  • request 1: 128/128 decode tokens, ~1.74 tok/s;
  • next prompt: 221 tokens processed on the same server process;
  • request 2: 32/32 decode tokens, ~1.61 tok/s;
  • no duplicate-resident, K/L2 transition failure, fail-closed event, or
    compute error was observed.

The throughput values above are smoke-test observations only. v0.1.4 retains
the model qualification and limitations documented for v0.1.3; see
v0.1.3.md for the broader performance evidence.

Compatibility and boundaries

• The public expert-cache configuration remains the v0.1.3 typed CLI/server
  interface.
• Existing v0.1.3 model recommendations remain unchanged.
• Use --parallel 1 whenever L1 K/R/P is enabled.
• L1 K/R/P remains intentionally incompatible with LoRA in this prototype.
• The Siliang expert arena remains Windows-only; Linux CPU and macOS Metal CI
  continue to protect the upstream-compatible non-arena paths.

Downloads

• Windows x64 CPU
• Windows x64 CUDA 13.2 multi-arch
• SHA256SUMS