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-0.1.15.tar.gz (125.8 kB view details)

Uploaded Source

Built Distribution

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

nemostation-0.1.15-py3-none-any.whl (45.4 kB view details)

Uploaded Python 3

File details

Details for the file nemostation-0.1.15.tar.gz.

File metadata

  • Download URL: nemostation-0.1.15.tar.gz
  • Upload date:
  • Size: 125.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for nemostation-0.1.15.tar.gz
Algorithm Hash digest
SHA256 54bbec0da64d09796da6190bee050bbc778679a30bb48372b9d37bd73016e497
MD5 fcf11e528d1b9e16882d4d8cb7ab2b0f
BLAKE2b-256 1ffba143b71ce7fc6cbe9ee107975618b72e4271ae7260c5b9bcfd29dde74d5b

See more details on using hashes here.

File details

Details for the file nemostation-0.1.15-py3-none-any.whl.

File metadata

File hashes

Hashes for nemostation-0.1.15-py3-none-any.whl
Algorithm Hash digest
SHA256 21c45ef5633b314c43f1e0d9f04549fbd8810ba6922fcb294e26956c8e95983d
MD5 068570cefe44f810103b044a8a57e8ee
BLAKE2b-256 c2bb8efcd88a3252cafc34b904f660e19c1d9b54c54da20d68c1b60d9a6a1077

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