Commit Graph

5 Commits

Author SHA1 Message Date
ed4d71db09 fix(validate-neuron): default to unsloth GGUF + capture curl errors
Two reasons the previous run silently bailed after POST /models/load:

1. Default model was Qwen/Qwen3-0.6B-GGUF (official). That repo ships
   ONLY Q8_0 — no Q4_K_M, no Q4_0, nothing else. The GGUF filename
   matcher in CandleHarness::resolve_files returned "no GGUF file
   matching quant Q4_K_M" and the load endpoint returned an error,
   but the script used `curl --silent --fail` and swallowed it.

2. /models/load is synchronous (it awaits the full HF download + GGUF
   parse). curl --max-time 30 was way too short for a 400 MB fresh
   download.

Fixes:
- Default model is now unsloth/Qwen3-0.6B-GGUF, which mirrors the
  full Q-spectrum (Q2_K through Q8_0 plus BF16) so Q4_K_M actually
  exists.
- trigger_load / run_probe now use --write-out to capture HTTP code
  and emit the response body on non-2xx, so failures surface a real
  diagnostic instead of an opaque set -e abort.
- LOAD_TIMEOUT bumped to 600s; INFER_TIMEOUT to 120s.
- Probe payload built via `yq -n` so JSON quoting is reliable
  regardless of the prompt text.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 08:14:31 +03:00
39010c779f add script/validate-neuron.sh — end-to-end candle harness smoke test
Loads a small public Qwen3 GGUF on a target neuron host, fires a
deterministic reasoning probe ("What is the capital of France?"),
and asserts the response contains 'Paris'. Used to validate the
candle harness on a real GPU host before the Stage 7 TP work begins,
and as a regression check after future neuron builds.

Defaults to beast.hanzalova.internal + Qwen/Qwen3-1.7B-GGUF + Q4_K_M;
all three are positional args so the same script tests any node /
model combination. Polls /models after triggering the load since
/models/load returns once the materialisation is *queued*, not
finished.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-19 07:58:05 +03:00
8a2334eacb deploy: dnf-native version check + lair.cafe repo bootstrap
Replaces the string compare of 'git describe --tags' vs the binary's
self-reported --version (which lies about prereleases — every
0.1.16-* RPM reports just "0.1.16") with the dnf-native question of
"is the installed package current against what the repo offers".

Mechanism:
- installed_nvr(): rpm -q --qf '%{version}-%{release}' for the
  resident package, falling back to "(not installed)". Capturing rpm's
  output through a variable keeps its "package X is not installed"
  stdout message out of the result on failure.
- needs_update(): probes rpm -q first (treats absent as "needs work"),
  then asks dnf check-update --refresh -q. Other dnf failures collapse
  into "needs update" so the subsequent install surfaces a real error
  rather than this check swallowing one silently.
- ensure_lair_repo(): probes for /etc/yum.repos.d/lair-cafe-unstable.repo
  and adds it with `dnf config-manager addrepo` when missing. The
  upstream .repo file ships enabled=0 (unstable channel doesn't
  auto-engage on fetch), so we then run `dnf config-manager setopt
  lair-cafe-unstable.enabled=1` every run — cheap, idempotent.
- Cortex and neuron install branches now guard `systemctl stop` with
  `[ ! -f /usr/lib/systemd/system/...service ] || sudo systemctl stop`
  so fresh installs (no unit file yet) don't short-circuit the install
  step under set -e.
- dnf output is captured into a variable and only printed (with a
  [host]   prefix per line) on failure, so success stays quiet and
  failures show the actual diagnostic instead of being eaten by
  &> /dev/null.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 18:55:02 +03:00
249c9442e8 chore: track deployment script
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2026-05-18 17:50:35 +03:00
5c957d08ec ci: add build-prerelease workflow for CUDA RPMs on rpm.lair.cafe
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Adds a manually-triggered workflow that builds CUDA-flavoured neuron
binaries and a CPU cortex binary, packages them as Fedora RPMs, signs
them, and rsyncs to the unstable channel at
https://rpm.lair.cafe/fedora/43/x86_64/unstable/. Mirrors the build
pipeline used by grenade/mistralrs-package.

Pipeline:
- prepare: derive {version,short_sha,commit_date} from the checkout;
  the prerelease Release stamp "0.1.YYYYMMDDgitSHORTSHA" sorts below
  the eventual "1" stable release.
- build-cortex: cargo build --release -p cortex-cli on a rust runner.
- build-neuron: matrix over ada (sm_89) and blackwell (sm_120) on
  cuda-13.0 runners; cargo build with features "cuda cudnn flash-attn"
  and CUDA_COMPUTE_CAP set per flavour.
- package-{cortex,neuron}: rpmbuild on the rpm runner against the new
  prebuilt-binary specs in rpm/.
- publish: import signing key, sign RPMs, rsync to oolon, createrepo_c
  --update, then regenerate packages.json for the UI.

New specs are prebuilt-binary variants — they consume the artifact
from the build job rather than running cargo at rpmbuild time. Each
helexa-neuron-{flavour} package Conflicts with the other flavours and
with helexa-neuron (the future source-build stable package) so one
flavour is installed at a time on a given host.

neuron crate gains cudnn and flash-attn feature flags forwarding to
the corresponding candle features, so the CI build command compiles
those kernels into the binary.

sccache is intentionally NOT used in the prerelease jobs — CUDA
compute cap isn't in its cache key, so flavours would mis-hit each
other. Each prerelease build is a clean cargo build.

Required Gitea secrets (already in place for cortex.spec / COPR
workflow):
- RPM_SIGNING_KEY, RPM_SIGNING_KEY_ID
- RSYNC_SSH_KEY

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-18 17:01:35 +03:00