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Strim 0.1.1

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@github-actions github-actions released this 29 Oct 13:42
· 17 commits to main since this release
v0.1.1
061c349

Strim 0.1.1

What's in 0.1.1

  • Fixed parsing of responses with a stray </think> tag.
  • Redesigned the app: a sidebar window with Status, Jobs and per-project chats (one thread list per folder, like a coding agent), a responsive layout, and a first-run download flow for the model.
  • Redesigned the menu bar popover and added live screenshots of the real app.
  • Redesigned the website and README.
  • Added strim pull for downloading model files with pinned revisions, resume support, and hash verification.
  • Added a macOS DMG and Homebrew cask for the app.

Install

  • CLI with Homebrew: brew install megasoft1978/strim/strim
  • App with Homebrew: brew install --cask megasoft1978/strim/strim-app
  • CLI with curl: curl -fsSL https://raw.githubusercontent.com/megasoft1978/strim-engine/main/packaging/install.sh | bash
  • App DMG: download Strim-0.1.1-arm64.dmg from the latest release and move Strim to Applications.

The app is ad-hoc signed and not notarized. If Gatekeeper blocks it, choose Open Anyway in System Settings > Privacy & Security, or run xattr -dr com.apple.quarantine /Applications/Strim.app.

After installing, download the model with strim pull.

Benchmarks

On an M5 Max with 64 GB, Strim 0.1.1 was compared with rapid-mlx 0.15.7, mlx-vlm 0.7.10, mlx-lm 0.32.2, and oMLX 0.4.5.dev1. Strim decoded at 75.3, 65.2, and 52.2 tok/s at 4K, 16K, and 32K context, versus rapid-mlx's 50.1, 45.7, and 42.2; cold prefill was 994, 963, and 885 tok/s versus mlx-vlm's 1,017, 988, and 923, with TTFT of 4.13, 17.02, and 37.06 s versus 4.04, 16.59, and 35.51 s. Strim therefore trails mlx-vlm by 2–4% on cold prefill and TTFT, and loses c=4 short-prompt aggregate throughput to rapid-mlx by 3.5%; it wins decode and p50 TTFT in the measured contexts. oMLX has unavailable cells where its memory guard aborted or declined runs. Full results and methodology: benchmarks.

Known limits

  • Cold prefill is 2–4% behind mlx-vlm in the measured contexts.
  • Some oMLX benchmark cells are unavailable because its memory guard aborted or declined runs.
  • The DMG is not notarized.
  • Benchmarks cover one model.
Assets 6
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