dit_ee_cubes-ema is an open-weight model for robotics from Sielo Robotics. It has 253M parameters. At 16-bit it needs about 0.6 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Parameters253M
Context—
Weights—
License—
AccessOpen weights
Monthly Downloads—
Runs On
What it takes to serve dit_ee_cubes-ema (253M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.5 GB | 0.6 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.3 GB | 0.3 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.1 GB | 0.2 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 23, 2026.
dit_ee_cubes-ema on every accelerator the SAVRN Index prices, at every precision
Model Card
Identity and Version
- Repository
- SieloRobotics/dit_ee_cubes-ema
- Publisher
- Sielo Robotics
- Task
- Robotics
- Modality
- Control
- Library
- lerobot
- Parameters
- 253M parameters
- Languages
- Not stated by the source
- Revision
- c2127341f39bc1522b6e0dd27a5eda0ffb1ad6d1
- First published
- 2026-10-21
- Last updated
- 2026-10-21
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
Download from Sielo Robotics
Released by Sielo Robotics through its official repository on Hugging Face.
Built From
- Described by arXiv:2507.05331
- Trained on (disclosed) SieloRobotics/rebot_pick_place_ee
Memory Requirements
| Precision | Weights in memory |
|---|---|
| 16-bit | 0.5 GB |
| 8-bit | 0.3 GB |
| 4-bit | 0.1 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About dit_ee_cubes-ema
How much GPU memory does dit_ee_cubes-ema need?
About 0.6 GB at 16-bit and 0.2 GB at 4-bit: the weights (253M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run dit_ee_cubes-ema on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
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