ManiFlow-TB
Allen Institute for AI released ManiFlow-TB, a 322.5M parameter robot action model, on Hugging Face.
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Allen Institute for AI
Every row from Allen Institute for AI in The Deploy Log: 8 rows, newest first, each linking the publisher's own page. The newest shipped are ManiFlow-TB and Molmo2-4B-tb. 3 of them have a shipped date, the first and the newest . By lane: Breakthroughs 6; Models and APIs 2. They fall in 5 months. The tables below count them by lane, month and platform.
| Lane | Rows |
|---|---|
| Breakthroughs | 6 |
| Models and APIs | 2 |
| Figure | Value |
|---|---|
| First row dated | |
| Newest row dated | |
| Median days between release days, publisher's dates only | 181 |
| Rows with no publisher's date | 5 |
| Platform | Rows |
|---|---|
| Hugging Face | 2 |
Molmo2-4B-tb
Allen Institute for AI released Molmo2-4B-tb, a 4.5B parameter vision-language model fine-tuned for robot block-stacking, on Hugging Face.
AstaBrief 8B
Ai2 open-sourced AstaBrief 8B, a model that turns a research question and retrieved literature excerpts into a cited report, with Fast mode averaging 51.1 seconds per report compared with 178.5 seconds for Thinking mode, about 3.5x faster.
Olmo-core 3
Ai2 released Olmo-core 3, an open MoE training system benchmarked at over one trillion total parameters, with a 47-billion-parameter MoE processing 52,000 tokens per second per GPU on eight NVIDIA B300 GPUs, about 2.7x the throughput of the earlier implementation.
MolmoAct 2
MolmoAct 2, Ai2's vision-language-action model, is available with model weights, data, training code, and fine-tuning scripts, and won an embodied AI hackathon with a voice-controlled robot ten days after release.
MolmoMotion
MolmoMotion forecasts 3D point trajectories from video, instructions, and query points, and a control policy built on it succeeds on 76.3% of pick-and-place tasks versus 56.0% for Molmo 2.
olmo-eval
Ai2 released olmo-eval, an evaluation workbench that builds on OLMES and supports agentic and multi-turn evaluation, pairwise model comparison, and per-question analysis with standard errors and minimum detectable effects.
EMO
Ai2 releases EMO, a 1B-active, 14B-total-parameter MoE trained on 1 trillion tokens, where modular structure emerges from data, allowing selective use of just 12.5% of experts with near full-model performance.
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One line every time AI actually ships, around the clock, free on Threads and Bluesky. Every one is in The Deploy Log with its source.