Skip to main content

Find moments in your videos. Agent-first CLI for Marlin-2B: dense captioning + temporal grounding, local or hosted.

Project description

Marlin — video understanding on your Mac

Try it live Hugging Face PyPI

The command-line tool for Marlin-2B — a 2B video VLM for the two questions you actually ask a video: what is happening, and when. Runs free and local on Apple Silicon — no API key, no Hugging Face account.

  • marlin caption → a Scene description + a <start>–<end> event timeline
  • marlin find → the single start → end span where your query happens

Install

Apple Silicon (M-series Mac) only for now. NVIDIA / other platforms are coming as a separate optimized build.

uv tool install nemostation      # or: pipx install nemostation
marlin setup                     # one-time: sign in, build the local engine
marlin caption clip.mp4          # describe what's in a video
marlin find clip.mp4 "a deer crossing"   # locate when it happens → start → end

First run opens your browser for a quick sign-in (two questions, then Google), detects your Mac, and builds the local MLX engine. The 8-bit weights are public — nothing gated. Add --json to any command for parseable output.

What it produces

marlin caption "video.mp4"what's in it marlin find "video.mp4", "gunfight"when it happens
Marlin caption example Marlin find example

Each call runs one model pass on one bounded clip (~2 min at 2 fps) — the same contract as the inference server. For longer videos, window with ffmpeg and loop.

Why Marlin

At 2B params it's the strongest open model in its weight class on dense captioning (DREAM-1K, CaReBench) and natural-language temporal grounding (TimeLens-Bench) — competitive with Gemini-2.5 at a fraction of the cost. See the benchmarks on the model card.

Use it from an agent

marlin skills install        # → .claude/skills/ + .agents/skills/

Installs the video-understanding skill so Claude Code / Codex use marlin as "eyes on a video" — clip-length and single-find limits baked in. Every verb honors --json (stdout parseable, progress on stderr).

Contributing

Marlin is meant to be extended — and adding a skill is the easiest way in. A skill is a folder under skills/ with a SKILL.md that teaches an agent to use caption / find for one job — clip scoring, b-roll search, highlight reels, footage catalogs, whatever you build.

skills/
  video-understanding/SKILL.md   # ships today — the reference
  your-skill/SKILL.md            # ← add yours

Add one:

  1. Copy the format from video-understanding/SKILL.md — frontmatter (name, description, requires.bins) + a short recipe.
  2. Keep it honest about the limits (one bounded clip per call; find returns one span).
  3. Open a PR. New skill ideas, issues, and docs fixes are all welcome too.

Hack on the CLI:

git clone https://github.com/shu-bamma/marlin-cli
cd marlin-cli
uv tool install --editable .     # or: pip install -e .
pytest                           # contract tests

New verbs, engine support, and bug fixes are all fair game — open an issue to chat about anything bigger. Licensed under Apache-2.0.

Links

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nemostation-0.1.16.tar.gz (126.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nemostation-0.1.16-py3-none-any.whl (45.9 kB view details)

Uploaded Python 3

File details

Details for the file nemostation-0.1.16.tar.gz.

File metadata

  • Download URL: nemostation-0.1.16.tar.gz
  • Upload date:
  • Size: 126.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for nemostation-0.1.16.tar.gz
Algorithm Hash digest
SHA256 f51ec3b0ebdb2ed1cc3da159ef645f64b9ad12f7c7e41e2d76d1a7d473a23fdf
MD5 8ba98762b04fa0dbc91becb7216eadb3
BLAKE2b-256 ac80f39432ed102adba45e8b0dc4957b84ebaf6c93e2983bfbb5d1244e71c295

See more details on using hashes here.

File details

Details for the file nemostation-0.1.16-py3-none-any.whl.

File metadata

File hashes

Hashes for nemostation-0.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 8fbb9ad494e57f87420eb920ea46a33cc4277b0580e5c37c9d320d4a9ffd51ec
MD5 5d0f55f5940803fe4e0b726bec4f3594
BLAKE2b-256 7080e87274541192a90eff411bc467ea838db75c9e5e6163618cd7ab50903d24

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page