Tsinghua University / ByteDance Research / CASIA et al.
RoboVLMs(KosMos P.H.)
Commercial use OK 7/8 verified
1 of 8 required fields are unverified. They are shown as badges, not filled with defaults. Sources for verified fields are listed below.
Facts
- Released
- 2024-12 1 Source
- Parameters
- Unverified 0 Source
- Architecture
- VLM + action expert 0 Source
- License
- Apache-2.0 (code and model card) 2 Source
- Commercial
- Commercial use OK 0 Source
- Weights
- huggingface.co ↗ 1 Source
- Code
- github.com ↗ 1 Source
- Paper
- arxiv.org ↗ 0 Source
- Input modalities
- rgb · language 0 Source
- Action space
- End-effector pose delta + gripper 0 Source
- Cross-embodiment
- Open X-Embodiment pretraining; CALVIN / SimplerEnv / real robot 0 Source
- Pretraining data (hours)
- Unverified 0 Source
- Target forms
- Single arm 0 Source
Architecture · Framework for turning any VLM into a VLA; best-performing variant is KosMos backbone + policy head; Nature Machine Intelligence 2026
Sources · 2 sources
release_date,license,arch_notes,code_url https://github.com/Robot-VLAs/RoboVLMs Official page · Fetched 2026-09-05 · No snapshot stored yet README:initial release 12/11/24;Apache-2.0 license;KosMos VLM backbone;Nature Machine Intelligence
weights_url,license https://huggingface.co/api/models/robovlms/RoboVLMs Model hub page · Fetched 2026-09-05 · No snapshot stored yet Model card license: apache-2.0; checkpoints kosmos_ph_oxe-pretrain.pt etc.
Activity signals
Public counters fetched daily from GitHub, Hugging Face and ModelScope. Numbers only; no judgement. · fetched 2026-10-31
GitHub stars
491
+6 / 30 d
Commits · 90 d
0
last push 201 d ago
HF downloads · 30 d
0
all-time 0 · 6 likes
Weights last modified
2025-01-15
655 d ago
GitHubRobot-VLAs/RoboVLMs · 25 forks · 26 open issues · latest release v0.1.0 (2025-11-29)no push for 200 d
ModelScopeno same-name mirror found (searched by repo name)
Hugging Facerobovlms/RoboVLMs
stars · last 30 d
Public benchmark scores
As printed in the source; protocols differ between papers. Full table with notes on the benchmarks page.
| Benchmark | Subset | Score | Source |
|---|---|---|---|
| CALVINKosMos P.H. (KosMos-2 backbone, policy-head, history) | abc_d | 4.3 avg_len | paper · CALVIN results table (paper Extended Table 2; identical in README), row 'KosMos P.H.' train ABC test D, column Avg. Len. |
| CALVINKosMos P.H. (KosMos-2 backbone, policy-head, history) | abcd_d | 4.5 avg_len | paper · CALVIN results table (paper Extended Table 2; identical table in GitHub README), row 'KosMos P.H.' train ABCD test D, column Avg. Len. |
| SimplerEnv · Google RobotKosMos P.H. (KosMos-2 backbone, policy-head, history) | move_near | 0.9 fraction | paper · Extended Table 3(d), row 'RoboVLMs (Ours)', column 'Move Near / Average' |
| SimplerEnv · Google RobotKosMos P.H. (KosMos-2 backbone, policy-head, history) | open_close_drawer_avg | 0.6 fraction | paper · Extended Table 3(d), row 'RoboVLMs (Ours)', column 'Open/Close Drawer / Average' |
| SimplerEnv · Google RobotKosMos P.H. (KosMos-2 backbone, policy-head, history) | open_top_drawer_and_place_apple | 0.3 fraction | paper · Extended Table 3(d), row 'RoboVLMs (Ours)', column 'Open Top Drawer and Place Apple / Average' |
| SimplerEnv · Google RobotKosMos P.H. (KosMos-2 backbone, policy-head, history) | pick_coke_can_avg | 1 fraction | paper · Extended Table 3(d), row 'RoboVLMs (Ours)', column 'Pick Coke Can / Average' |
| SimplerEnv · WidowX (Bridge)KosMos P.H. (KosMos-2 backbone, policy-head, history) | put_carrot_on_plate | 0.4 fraction | paper · Extended Table 3(c), row 'RoboVLMs (Ours)', task 'put carrot on plate', column 'final' |
| SimplerEnv · WidowX (Bridge)KosMos P.H. (KosMos-2 backbone, policy-head, history) | put_eggplant_in_yellow_basket | 1 fraction | paper · Extended Table 3(c), row 'RoboVLMs (Ours)', task 'put eggplant in yellow basket', column 'final' |
| SimplerEnv · WidowX (Bridge)KosMos P.H. (KosMos-2 backbone, policy-head, history) | put_spoon_on_towel | 0.5 fraction | paper · Extended Table 3(c), row 'RoboVLMs (Ours)', task 'put spoon on towel', column 'final' |
| SimplerEnv · WidowX (Bridge)KosMos P.H. (KosMos-2 backbone, policy-head, history) | stack_green_block_on_yellow_block | 0.2 fraction | paper · Extended Table 3(c), row 'RoboVLMs (Ours)', task 'stack green block on yellow block', column 'final' |
Deployment recipe
No recipe yet. We publish only steps that actually ran on a rented GPU with a measured latency; this model has not been through that yet.
Record history
2026-09-05
Sources fetched
release_date,license,arch_notes,code_url · weights_url,license
Latency & cost
cost = p50 ms ÷ 1000 × rental ÷ 3600 × 1000
| Hardware | p50 ms | p95 ms | Peak VRAM | Cost per 1k inferences ¥ | samples |
|---|---|---|---|---|---|
NVIDIA RTX 4090 ¥1.68/h · GongJi Compute (2026) | — | — | — | — no latency data | No data |
NVIDIA RTX 5090 ¥2.4/h · Runyun 2.4 / GongJi 2.5 / Paratera Cloud 2.98 (2026) | — | — | — | — no latency data | No data |
NVIDIA A100 80GB no rental price | — | — | — | — no latency data | No data |
NVIDIA Jetson AGX Thor no rental price | — | — | — | — no latency data | No data |
NVIDIA H100 80GB no rental price | — | — | — | — no latency data | No data |
NVIDIA A800 80GB no rental price | — | — | — | — no latency data | No data |
No latency measurements for this model yet · Data comes from literature, maintainer runs, or crowd CLI uploads. None exist so far.
Compatibility
Colored only where we hold evidence. An amber dot means the vendor declares this form as a target; that is a claim, not a verified compatibility.
| Unitree G1 | Unitree H1 | AgiBot Genie G1 | AgileX Piper arm | SO-101 | Franka FR3 / Panda | Fourier GR-2 | WidowX 250 S | Google Robot(Everyday Robots) | ALOHA 2 / Cobot Magic (dual-arm) | Galaxea R1 Pro | Franka Emika Panda | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RoboVLMs(KosMos P.H.) |
Legend Officially supportedCommunity reproducedFine-tunable in theoryUnsupportedUnknown Vendor-declared target form 2 / 12 cells with a definite status
Reproduction records
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No verified record yet for this model.
Clear direction, grounded judgement.