/inference/usefulsensors-moonshine-base

UsefulSensors/moonshine-base

Measured by one node on hardware we do not own, and signed by each of them. What machines here actually proved — never what the card claims.

matrix built 20 Oct 2026 · every field verified against the signature of the node that produced it, and re-verifiable by you: each signed figure carries the exact bytes the node signed (signing_payload_b64) and the signature over them, and the ed25519 public key is embedded in node_did. effective_ctx is the context length a node PROVED by recall, never the length a model card advertises
context declarednot declaredwhat the runtime reported. A node attests it was told this; nobody attests it is true.
context proved by recallnot probedthe largest size at which a machine could still find tokens planted across the whole prompt — start, middle and end, all of which had to come back.
Both numbers are needed to state a gap, and one of them is missing.

Languages, proved

English

Each question was put entirely in its own language and script, and the answer had to be right. A model with no coverage cannot parse the question, so answering in English is a failure here, not a pass. 1 proved of 7 asked — a language absent from the probe set was never asked, and is not a claim either way.

what it produced, measured

speech recognition
produced3.8stook0.5sspeed7.9× faster than realtime

measured on Linux, 4 cores, 31 GB · realtime_factor 0.13 (wall ÷ media)

The fastest measurement any machine reported, signed by the machine that took it. Every other machine’s numbers are in the table below — a rate is a fact about a model and a computer, and two machines disagreeing is two hardware classes rather than one of them being wrong.

Capabilities, measured

Speech inpassed
Whether the model itself accepts audio in a turn — distinct from this gram running a separate transcription engine. Recorded as unmeasured until an engine exposes the path, never as a failure.
signed by this network

What machines here proved

best throughput7.9× faster than realtime
machines that measured it1
regions it was proved in1
Every line traces to a node signature.
from the public record · unsigned

What the runtime says about it

No runtime metadata was attested for this model.The only unsigned block on this page. We attest we read these from the runtime — not that they are true. Nobody signs a model card.

Proven across regions

The Dalles, Oregon97058 · 1 node

The machine that measured it

nothing is averaged — the machine is what you are choosing
did:epn:002408…a5be46The Dalles · 97058 · speech-pod · on host · 20 Oct 2026Intel Xeon @ 2.00GHz · Tesla T4 15 GiB · 2 cores · 31.3 GiB RAM
✓ Speech in · 7.9× faster than realtimeprobe t3krsL0noW…
✓ Speech in✓ 1 languages

Run this where your data already is

Tell us the workload, whose machines it should run on, and which jurisdiction it answers to.

Run a gramPut a machine on the network in this region; it signs its capacity into the room.Open a gramxStart your own room — an org, a community, a brand.Be invitedAccept a link from an admin to cross into the private room.