g1-act-pick-bottle-v2 is an open-weight model from Nguyen Dinh Son, released under other. It has 52M parameters. At 16-bit it needs about 0.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.
Checkpoint ACT (step 050000) fine-tune từ v1 (g1-act-pick-place-bottle, 63 episode) trên dataset 106 episode (local/pickplacebottlev2), cho tác vụ pick/place chai nước bằng robot Unitree G1 (tay Inspire, 3 camera).
Runs On
What it takes to serve g1-act-pick-bottle-v2 (52M 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 | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.1 GB | 0.1 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 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 20, 2026.
g1-act-pick-bottle-v2 on every accelerator the SAVRN Index prices, at every precision
Model Card
Checkpoint ACT (step 050000) fine-tune từ v1 (g1-act-pick-place-bottle, 63 episode) trên dataset 106 episode (local/pickplacebottlev2), cho tác vụ pick/place chai nước bằng robot Unitree G1 (tay Inspire, 3 camera). - Vẫn là checkpoint fine-tune có MAE tốt thứ 2 trong toàn bộ các thí nghiệm (sau v5), và là điểm xuất phát để fine-tune ra v5 (checkpoint tốt nhất hiện tại, chưa push). - Dataset train tương ứng: local/pickplacebottlev2 (106 ep, chưa push dưới dạng merge đầy đủ lên HF — các phần cấu thành đã có ở g1-pick-place-bottle-63ep + g1-pick-bottle-43ep).
Excerpt from the card by Nguyen Dinh Son, licensed other.
Identity and Version
- Repository
- JKL0909/g1-act-pick-bottle-v2
- Publisher
- Nguyen Dinh Son
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- 52M parameters
- Languages
- Not stated by the source
- Revision
- 13175b4deaa97b52ccdfd91d68086c6525d68150
- First published
- 2026-10-07
- Last updated
- 2026-10-07
Files and Weights
9 files, 206.9 MB in total. The weights are 3 files totalling 206.9 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.safetensors | Weights | 206.9 MB | be6399ae33c9 |
| policy_postprocessor_step_0_unnormalizer_processor.safetensors | Weights | 10.4 KB | 601bf03ad18c |
| policy_preprocessor_step_3_normalizer_processor.safetensors | Weights | 10.4 KB | 601bf03ad18c |
| config.json | Configuration | 2.0 KB | — |
| policy_postprocessor.json | Configuration | 661 B | — |
| policy_preprocessor.json | Configuration | 1.5 KB | — |
| train_config.json | Configuration | 5.8 KB | — |
| README.md | Documentation | 757 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- other
- Access
- Open weights, no gate
- Download size
- 206.9 MB
Released by Nguyen Dinh Son through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 206.9 MB |
| 16-bit | 0.1 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About g1-act-pick-bottle-v2
How much GPU memory does g1-act-pick-bottle-v2 need?
About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (52M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run g1-act-pick-bottle-v2 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.
What license is g1-act-pick-bottle-v2 released under?
other, as its publisher declares it. Read the license text before commercial use.