otterbox901/q-1.3

Q 1.3

Q 1.3 is the research XL foundation with the QEVD add-on. It is a private copy for cubit labs' own research. Don't make this repository public, share it, or add anyone to it. The training data's terms forbid that (below).

folder	package	what
research-xl-v1/	foundation, size XL	pretrain-research-xl-01 step 95,000: 114.7M parameters, 16 blocks × 768, 12 heads
qevd@1/	research add-on on research-xl-v1	qevd-01, 30,000 steps: LoRA rank 16 (alpha 32, 3.1M parameters) on the attention and MLP layers, plus two label heads

Both are goata.motion-model/1 packages as written by goata-package, with each weights.pt checked against the sha256 in its package.json. The only change from the bucket copies: qevd@1/package.json names its foundation as ../research-xl-v1 instead of a gs:// address, so the stack loads from this folder.

Load

From a checkout of the Goata repository, in ml/:

from huggingface_hub import snapshot_download
from goata.model.package import load_package

path = snapshot_download("otterbox901/q-1.3")
stack = load_package(f"{path}/qevd@1")   # XL foundation + QEVD adapter and heads
foundation = load_package(f"{path}/research-xl-v1")

Inputs are the same as Q 1.1's: windows of 128 frames, 23 canonical joints, 8 features, at 30, 60 or 120 Hz (goata/model/spec.py).

Heads (qevd@1)

• exercise: one of 237 classes from QEVD's labels (exercises and everyday actions).
• how: multi-label, 483 classes: how the exercise is done (form, named mistakes, pace).

On 8,192 held-out QEVD windows at step 30,000:

head	measure	adapted	frozen XL + head only
exercise	accuracy	0.915	0.701
exercise	top-5	0.982	0.883
exercise	balanced accuracy	0.829	0.509
how	mean average precision	0.651	0.512 (base rate 0.149)
how	first choice right	0.701	0.555 (at random 0.164)

Foundation (research-xl-v1)

322.8 hours: Kinetics-700 (227.0 h, 2D pose from YouTube video), AddBiomechanics (54.1), DualSystem (11.0), CMU mocap (9.3), Riglet (6.4), Kuopio (5.1), AIST++ (4.1), Health&Gait (3.4), REHAB24-6 (1.5), Fukuchi running (0.7).

3DPW test (12 SMPL joint centres, hip-centred, MediaPipe input; not the published protocol): MPJPE 136.9 mm against the input's 135.6, so it doesn't improve on its input there. With 2D input only: 132.4. Q 1.1 (L) scored 119.9 on the same test.

Terms

Research only, never in a product, never published:

• QEVD (the add-on's only data): Qualcomm Data License Agreement – Research Use. It allows internal non-profit research only, and covers every model trained on it. If Qualcomm ends the licence, the data and these models must be deleted, this repository included.
• AIST++: the AIST Dance DB terms forbid commercial use without written consent.
• REHAB24-6: CC BY-NC 4.0.
• Kinetics-700: annotations CC BY 4.0, the videos are YouTube's.