Model card

Made by
Ai2
Size
5.5B parameters
Published
4 May 2026
More about the model
Publication
arXiv 2605.02881
Weights licence
Apache 2.0, for research and education under Ai2's Responsible Use Guidelines source
Actions per chunk
15, at 15 Hz source
Smallest GPU
Under 16 GB of GPU memory, in bfloat16 source
Architecture
Molmo2-ER vision-language model and a flow-matching action expert that reads its key-value cache at every layer source
Training data
Fine-tuned on 74,604 filtered DROID episodes (17.8M frames) source

Run with Positronic

Start the server source

docker run --gpus all -p 8000:8000 positro/molmoact2-droid

Drive a DROID robot from a positronic checkout guide

uv run --extra hardware positronic-inference real \
  --policy=.remote \
  --policy.address.host=localhost --policy.address.port=8000 \
  --next_task.instruction="Put the marker on the plate"

Progress through an episode

Each band shows how many episodes of MolmoAct2 were in that band at each second. On a task of one step, an episode is in the band of the furthest stage it reached. On a task of several steps, an episode is in the band its credit has reached, and each band starts at its stage's credit for one step. The dashed line shows the mean Reliability.

Episodes

Each episode of MolmoAct2 on DROID: Everyday tasks, the newest first.