Marlin-2B

by NemoStation

2B video VLM with second-precise temporal captioning and grounding

4Kdl/month

2Bparams

HuggingFace Use in Pipeline

Identifiers

Model ID

NemoStation/Marlin-2B

Feature URI

mixpeek://image_extractor@v1/nemostation_marlin_2b_v1

Overview

Marlin-2B is a 2-billion parameter video vision-language model from NemoStation that specializes in dense video captioning with second-level timestamp precision and temporal grounding. It tops the CaReBench leaderboard at the 2B scale and competes with models 3-4x its size on temporal understanding tasks. Built on Qwen3.5-2B, it processes video at 2 FPS with up to 240 frames, making it practical for production video indexing.

Architecture

Video VLM built on Qwen3.5-2B with a temporal-aware visual encoder. Processes video at 2 FPS sampling rate with a 240-frame cap (covering up to 2 minutes of video). Generates timestamped captions with [start:end] markers and supports temporal grounding queries that return specific time ranges.

Mixpeek SDK Integration

from mixpeek import Mixpeek

mx = Mixpeek(api_key="YOUR_KEY")

mx.ingest.videos(
    source="s3://media/raw-footage/",
    collection="video_archive",
    feature_extractors=[{
        "name": "scene_caption",
        "model": "NemoStation/Marlin-2B",
        "params": {"fps": 2, "max_frames": 240, "timestamps": True}
    }]
)