Fysics-AI/OmniFysics-Captioner needs about 78.4 GB of GPU memory for conversations of up to 16,384 tokens (an estimate: its settings are behind its licence). It runs on 2x Nvidia A40 from $1.15/h right now; best value: 4x RTX 5090 at $3.01/h.
The model's publisher asks users to accept its licence (other). GridPup cannot download this one yet: choose an ungated version below.
Weights
63 GB
GPU memory needed
about 78.4 GB (estimate)
Conversation length
16,384 tokens
Memory · disk
39.7 GB · 110 GB
Architecture
Qwen3OmniMoeForConditionalGeneration
Licence
other
Hardware and deploy
The publisher has not let GridPup download this licence-gated model yet. An ungated version of it (above) can be deployed.
Questions
How much GPU memory does OmniFysics-Captioner need?
About 78.4 GB for conversations of up to 16,384 tokens: 63.44 GB of weights, the cache for one full-length conversation and the runtime's own memory (an estimate: its settings are behind its licence).
What is the cheapest GPU to run OmniFysics-Captioner?
Right now 2x Nvidia A40 at $1.15 an hour; 4x RTX 5090 at $3.01 an hour is the best value for its speed. Prices are live offers from GPU clouds, checked every 15 minutes.
Can OmniFysics-Captioner run on an RTX 4090?
Not on one: it needs about 78.4 GB and an RTX 4090 has 24 GB. Use a bigger GPU, or a smaller (quantized) version of the model.
The memory is estimated from the weights: GridPup cannot read this model's settings until its licence is accepted.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.