The SYCL 0.2.11 engine reads only bf16 selector codebooks, so Arc gets its own tuned file (qwen3.8-flash-next-dflash2.strata1.q4_0-bf16sel.pack, 522,458,112 bytes, own SHA-256 pin) through
SetDefault.pack. Only IQ3_XXS, the set measured on the A750 (tuned 0.6 x1.054, 3 of 3 rounds); other Arc sets keep the stock pack. SYCL never gets the selq4 file, CUDA / HIP / Metal never the
bf16sel one. NOTICE names the second file and no longer overclaims about the text.
(cherry picked from commit 6111c583b70e3c88a3d54039e13d76b19f15742d)
requirements.txt and the four hash-locked terminal locks (windows, linux x86_64, linux aarch64, macOS arm64) move to 13.0.0; Python 3.10 stays on
12.3.0. Image.open() in the vision path, the EXIF probe and the DeepSeek picture reader now only opens JPEG, PNG, GIF, BMP, WebP, TIFF and AVIF, so a
JPEG 2000 file never reaches OpenJPEG on any Pillow version. Approach from PR #4220 (version split by Python range).
Controls of glorysdj's pull request #4185: unset means on for a Battlemage device and off for every other device (strata::bm_default_on); a set value still decides. Measured results are in phaseA-tests/pr-priorities/RESULTS-INTEL.md.
- strata_control/targets.py: host_platform() names Linux ARM64 'linux-aarch64' (as uname and Tauri do; a Mac stays macos-arm64) and the
cuda backend is committed to there (nothing else is: no HIP, SYCL or CPU engine for arm64 Linux)
- strata_control/feed.py: linux-aarch64 is a feed platform for engine, dsv41 and control packages (and a Tauri target name, no app is built)
- packaging/package_terminal.py: the Terminal for linux-aarch64 with python-build-standalone 3.12.15 aarch64-unknown-linux-gnu (SHA-256 from
the release's SHA256SUMS); packaging/lock_wheels.py + locks/runtime-linux-aarch64-cp312.txt: its hash-pinned wheels (the same 23 packages
as the x86_64 lock; platformdirs resolved to 4.13.6 against 4.13.0 there)
- packaging/make_local_feed.py: --dsv41 for the DeepSeek packages, linux-aarch64 terminals; packaging/install.sh installs on Linux ARM64
and says the engine is for the DGX Spark (GB10) only, instead of refusing
- packaging/build_cuda_linux_aarch64.sh: the release recipe (strata + strata-dsv41 + the reader, the engine package and the separate
DeepSeek package, sm_121 + compute_121, driver 580.65, build id naming the commit)
- tests: test_linux_aarch64.py, the Spark rows in test_release_matrix.py
Nothing changes for another platform: every edit is a new table row, a new branch for aarch64 Linux or a new file.
The 0.2.7 DeepSeek changes (persistent-grid IQ kernels, int8 rounding batches, hc_mix_split with a block counter, head columns,
chunk-path knobs) are kept; the Metal engine's hooks sit on top of them: every kernel launch is strata_ds4_launch(), the rounding
batch ends in the Metal multi-quantiser dispatch, the head stays at 4 columns a pass on Metal (8 moves the KL), and the macOS
parallel expert prefetch is macOS-only.
Same 15 files as the 0.2.6 bump (issue template, AGENTS.md, CMakeLists.txt 0.1.52, desktop and host package files, Cargo.toml and the strata-desktop entry in Cargo.lock, SettingsUpdates comment, qa1-storage test, metal 0.1.52-metal, build_hip_linux.sh PKGVER 0.1.52, strata_cli PRODUCT_VERSION, the two version tests), plus the Strata-0.2.7-<file> names in the md files.
Problem: the strata-dsv41 packages were built for sm_86 and sm_120 (+ PTX 120). An RTX 4090 user was stopped at setup on 0.2.4.1; since
b750d757f an sm_86 package is accepted on an sm_89 card (cubin same-major rule), but the engine had no sm_89 image of its own, and the docs said
nothing about RTX 40 or about building the engine for a card the packages do not cover. The reporter built strata-dsv41 for 86-real;89-real
themselves and ran the 2.00 set at 40.2 tok/s on an RTX 4090 48 GB (theirs, --dspark on).
What changed:
- packaging/build_dsv41_cuda.sh and build_dsv41_windows.bat: the default architectures are now 86-real;89-real;120, so the DeepSeek CUDA 13
packages list sm_86, sm_89, sm_120, compute_120 (Windows and Linux alike). The CUDA 12.9 line in the script header says ARCH="86-real;89".
- CMakeLists.txt: a build of strata-dsv41 with no -DCMAKE_CUDA_ARCHITECTURES defaults to 86-real;89-real;120 (the Qwen engine's default
stays 120, and the warning now names the architectures it picked).
- strata_control/engine_component.py arch_native(): true when a package holds machine code for the card itself. resolve() and
feed.select_engine() use it as the last tie-breaker, so with otherwise equal packages the one with the sm_89 image is taken on an RTX 40;
an sm_86-only package still fits (no refusal).
- setup.py: the "engine not available" stop now points at the build recipe (docs/DEEPSEEK41.md); the developer line names the
architecture to pass. The card list already said RTX 30, 40 and 50.
- docs/DEEPSEEK41.md, docs/MODELS.md: RTX 40 coverage, the reporter's measurement quoted as theirs, no claim of our own (we have no Ada card),
and a section "Building the engine for your card".
Tests: tests/terminal/test_engine_manifest.py (arch_native; the build scripts and the CMake default name sm_89 and both OSes agree; the
package list they give is sm_86 sm_89 sm_120 compute_120; an sm_89 card is accepted and prefers the package with sm_89). tools/test_setup_dsv41.py
unchanged and passing.
Not covered: no run on an Ada card (gate script in phaseA-tests/gh027/gates/3935-ada-dsv41.sh).
The Windows AMD DeepSeek engine package (feed member dsv41, windows-x86_64-hip-rdna3, arch gfx1151) is built from this
branch and installed as its own package; these are the code changes it needs.
- ds4_model.cu: on an integrated GPU the CPU lane's experts are no longer copied into RAM by the auto rule. The GPU's
expert tier and that copy are the same shared memory: on the 64 GB Strix Halo the GPU held 82 GB of experts, the rule
saw 62 GB 'free' and copied 53 GB, and an 8K prompt did not finish in 11 minutes. Found 2026-10-25 on strix; the
corrected build does the same prompt at 108.9 tok/s (4K 78.7), code answers 17.6 tok/s, chat 11.0. DS4_COPY_ALL=1
still forces the copy for a test.
- dsv41_engine.py: lib_dirs()/start_env() put the package's BUILD.json lib_dirs on PATH/LD_LIBRARY_PATH (a Windows HIP
package keeps hipBLAS/rocBLAS in rocm/bin, or a clean PC fails with 0xC0000135); the upgrade test-start uses it.
- setup.py: the dsv41 engine's library dirs come from the package (so the run config carries rocm/bin), the unsupported-card
text names Ryzen AI Max on Windows, and the manual package hint names the .tar.gz the release page actually has.
- runner.py: the same library dirs for the app/Terminal path.
- dsv41_fit.py: a unified-memory plan for the official IST-DAS sets (one pool, what stays in RAM, what is read from the SSD,
measured 14-16 tok/s on code, 10-11 on chat, 4K 78 / 8K 109), never a refusal; tools/strata_mcp.py uses it for the app
catalog's on-this-PC line.
- Docs: STRIX_HALO.md (DeepSeek section with speeds, driver 26.10.1, memory behaviour, limits), DEEPSEEK41.md, MODELS.md,
AI_REFERENCE.md, README.md, packaging/README.md (the Windows AMD package recipe).
- Tests: tests/terminal/test_dsv41_fit.py (7) and 4 new tests in test_dsv41_engine.py (lib dirs, feed selection for gfx1151).
Niko1221