Commit Graph

2 Commits

Author SHA1 Message Date
emozilla 0316d3d404 fix(local-runtime): unify memory accounting and effective-window MTP
Price weights, context, runtime, projector and batch overhead consistently
across catalog admission, initial launch, growth and restored windows.
Keep MTP and the larger window when lean batches avoid unnecessary spill.

Admit optional external drafts only when their complete footprint fits.
Use preset-only model discovery so refused files cannot autoload, and
preserve refusal/spill decisions atomically for desktop status read-back.

Add regression coverage for complete-footprint boundaries, MTP restarts,
growth admission, draft budgets and placement status transitions.

Builds on the overhead-accounting contribution in #102993 and the
restored-window MTP contribution in #106897. Does not adopt the 40%
host-RAM reserve or resolve the remaining requests in #102865/#106895.

Co-authored-by: infinitycrew39 <infinitycrew39@gmail.com>
Co-authored-by: KoNit-K <124019182+KoNit-K@users.noreply.github.com>
2026-09-11 01:40:43 -04:00
emozilla 43e67d872f feat: local models — managed llama.cpp runtime with one-click desktop setup
Run models locally as a first-class provider. The CLI grows a managed
llama.cpp runtime (engine install, model download, server supervision);
the desktop app grows the full setup and management story on top of it.
GUI surfaces ship behind the desktop --local launch flag (hermes desktop
--local, or the flag on the packaged app); backend routes and the CLI
are always live.

Runtime (hermes_cli/local_runtime/):
- curated GGUF catalog with per-machine variant selection: hardware
  probe (VRAM/RAM/UMA), fit planning with spill accounting, quant choice
  by context window
- derived recommendation: quality-ranked picks gated by a predicted
  decode-speed floor, bandwidth-aware on unified memory; the decision
  table is pinned as a test (pick AND reason per memory class), and the
  Recommended badge explains its pick in a tooltip fed by the resolver's
  actual branch
- engine install + model download with resumable split parts, cumulative
  plan-level progress, and staged-model integrity (a split GGUF counts
  only when every part is present)
- server supervision: spawn/adopt/stop, router mode with per-model load
  progress relayed over SSE, abandoned-request cleanup

Desktop:
- Settings -> Providers -> Local models: one-click quickstart (install
  engine, download the recommended model, boot) plus per-model download/
  activate/eject, fit-ranked catalog with context pills
- model pickers (composer dropdown + Cmd+K) show staged local models,
  in-flight downloads as live progress rows, and load-into-memory bars
- local-setup campaign tip for eligible hardware; System resources
  statusbar widget (GPU/VRAM/RAM); in-chat load progress during sends
- friendly dead-server errors, and failed agent builds retry on the next
  send instead of wedging the session

Co-developed with NVIDIA field feedback on RTX 5090 and DGX Spark.
2026-09-01 16:01:53 -04:00