One representative model per RPC group of the audio-cpp backend, plus the two
bundled VAD models, which need no download at all because the assets ship
inside the backend package.
Every hash was computed with sha256sum on the downloaded file. Quantizations
come from upstream's tested-status table in docs/gguf.md rather than a default
of q8_0: supertonic ships the orig package (its q8_0 is recorded as an
unsupported weight dtype and its f16 aborts in ggml_concat), and nemotron_asr
and htdemucs ship f16 because their q8_0 builds are recorded with drift while
16-bit is a clean pass.
Diarization and separation use the diarization and audio_transform usecases,
not transcript: /v1/audio/diarization and /audio/transform filter the default
model on FLAG_DIARIZATION and FLAG_AUDIO_TRANSFORM respectively, so a
transcript flag would have hidden both models from their own endpoints. The
forced aligner sets parameters.language, which the transcription endpoint uses
as the fallback when no language form field is sent, because the family
requires both a transcript and a language.
All ten entries were run twice: once against the raw gRPC server, and once
installed with local-ai models install and called through the HTTP endpoint.
Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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