/inference/usefulsensors-moonshine-tiny

UsefulSensors/moonshine-tiny

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 13 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 5 asked — a language absent from the probe set was never asked, and is not a claim either way.

what it produced, measured

speech recognition
produced3.8stook0.5sspeed8.1× faster than realtime

measured on Windows, 8 cores, 16 GB · realtime_factor 0.12 (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 throughput8.1× 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

Bengaluru, Karnataka562114 · 1 node

The machine that measured it

nothing is averaged — the machine is what you are choosing
did:epn:002408…9e3c79Bengaluru · 562114 · speech-pod · 21 Sept 2026Intel64 Family 6 Model 151 Stepping 5, GenuineIntel · 15.7 GiB RAM
✓ Speech in · 8.1× faster than realtimeprobe 7E4Wo+1mvo…
✓ 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.