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Open-weight model

smolvla-aegis-ft-step551

by H krishnah27/smolvla-aegis-ft-step551

smolvla-aegis-ft-step551 is an open-weight model from H. Its published files total 227.3 MB.

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model.

Parameters—
Context—
Weights227.3 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). - PEFT 0.21.0

Excerpt from the card by H.

Identity and Version

Repository
krishnah27/smolvla-aegis-ft-step551
Publisher
H
Task
Not stated by the source
Modality
Other
Library
peft
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
5c7e2ae715995a9cc9e9db6446ad009141b94dfd
First published
2026-09-27
Last updated
2026-09-27

Files and Weights

6 files, 227.3 MB in total. The weights are 1 file totalling 227.3 MB in safetensors.

Weights1 file · 227.3 MB
Configuration3 files · 4.3 KB
Documentation1 file · 5.2 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights227.3 MB a44bcbef232c
adapter_config.jsonConfiguration1.5 KB —
ckpt_meta.jsonConfiguration254 B —
config.jsonConfiguration2.6 KB —
README.mdDocumentation5.2 KB —
.gitattributesRepository1.5 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
227.3 MB
Download from H

Released by H through its official repository on Hugging Face.

Built From

  • Adapter of /root/.cache/huggingface/hub/models--lerobot--smolvla_base/snapshots/d9f33c94a60fb382c90dea2164c96845bd955e28
  • Described by arXiv:1910.09700

Memory Requirements

PrecisionWeights in memory
As published227.3 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.