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Filamind AI v1.4.1

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@github-actions github-actions released this 30 May 00:24
v1.4.1
620b1c7

[1.4.1] — 2026-05-30

DS1821+ أصبح حقيقياً — binary AVX2 مبني ومُختبَر على الجهاز · DS1821+ goes from stub to real: AVX2 llama-server built and verified on the actual device.

Added

  • Real llama-server for DS1821+ (device/ds1821-plus branch) — replaces the 5-byte stub placeholder with a genuine 5.7 MB binary:
    • llama.cpp b4400, CPU-only, compiled with -march=znver1 -mavx2 -mfma -mf16c.
    • Static libstdc++/libgcc so it runs on DSM 7.2's glibc 2.36 despite being built on Ubuntu 22.04 (glibc 2.35). Runtime deps are only libc/libm/ld-linux (verified via ldd).
    • Built with GGML_OPENMP=OFF + LLAMA_CURL=OFF to keep the dependency surface minimal.
  • On-device verification (192.168.0.250):
    • ./llama-server --version → version: 1 (6e1531a) — executes cleanly, no "Exec format error", no glibc mismatch.
    • Loaded mistral-7b-instruct-v0.2-q4_k_m.gguf (291 tensors), system_info reports AVX2 = 1 | FMA = 1 | F16C = 1.
    • /health → {"status":"ok"}; a real chat completion returned actual generated text.
  • build_ds1821_native.sh — the reproducible native-toolchain build recipe (an alternative to the Synology-toolchain path in build_llama_cpu_avx2.sh, which requires downloading the v1000 cross-toolchain).

Changed

  • DS1821+ marked functional in the README, the top-of-changelog device table, and device/ds1821-plus's DEVICE.md — replacing the honest "not yet functional / stub" notes from v1.3.2.
  • The DS1821+ SPK in releases is now a working package, not a stub-carrying placeholder.

Notes

  • This is one of the two "missing features" called out in the v1.3.x honesty audit (the other — in-chat MCP tool-calling — shipped in v1.4.0). Both are now genuinely built and verified.
  • Performance is CPU-bound: expect a few tokens/sec on 7B Q4 (the 62 GB RAM comfortably holds much larger models than the DVA 3221's 4 GB VRAM, at lower speed).

Install · التثبيت

Recommended (one-click updates): add the Package Source URL once:

DSM → Package Center → Settings → Package Sources → Add
Location: https://filamind-app.github.io/filamind-ai/

Manual install: download the SPK matching your device and upload via Package Center → Manual Install.

Device SPK
DVA 3221 (GTX 1650, CUDA) Filamind-1.4.1-dva3221.spk
DS1821+ (Ryzen V1500B, CPU AVX2) Filamind-1.4.1-ds1821-plus.spk
Assets 5
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