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lfm3-audio-2b-pipeline
LiquidAI LFM3-Audio-2B in GGUF (Q4_K_M weights with the Q8_0 audio projector), used as a chained realtime pipeline: transcription, chat and speech synthesis (voice female) all run on this one llama.cpp model, one stage after the other, instead of as one speech-to-speech session. Pick it when you want per-stage text, the regular chat path (tools, templates, streaming) or the transcript before the answer. No VAD model is set: the client commits each turn with input_audio_buffer.commit. Use the -pipeline-vad entry for automatic turn detection. The pipeline slots name this entry, so keep the installed model name as it is. Needs a LocalAI build whose llama.cpp pin includes the LFM3 audio support. Licensed under the LFM Open License v1.0 (https://huggingface.co/LiquidAI/LFM3-Audio-2B-GGUF/blob/main/LICENSE).

Repository: localaiLicense: lfm1.0

lfm3-audio-2b-q8-pipeline
LiquidAI LFM3-Audio-2B in GGUF (Q8_0 weights with the Q8_0 audio projector), used as a chained realtime pipeline: transcription, chat and speech synthesis (voice female) all run on this one llama.cpp model, one stage after the other, instead of as one speech-to-speech session. Pick it when you want per-stage text, the regular chat path (tools, templates, streaming) or the transcript before the answer. No VAD model is set: the client commits each turn with input_audio_buffer.commit. Use the -pipeline-vad entry for automatic turn detection. The pipeline slots name this entry, so keep the installed model name as it is. Needs a LocalAI build whose llama.cpp pin includes the LFM3 audio support. Licensed under the LFM Open License v1.0 (https://huggingface.co/LiquidAI/LFM3-Audio-2B-GGUF/blob/main/LICENSE).

Repository: localaiLicense: lfm1.0

lfm3-audio-2b-pipeline-vad
LiquidAI LFM3-Audio-2B in GGUF (Q4_K_M weights with the Q8_0 audio projector), used as a chained realtime pipeline: transcription, chat and speech synthesis (voice female) all run on this one llama.cpp model, one stage after the other, instead of as one speech-to-speech session. Pick it when you want per-stage text, the regular chat path (tools, templates, streaming) or the transcript before the answer. Server-side turn detection is on: the entry sets pipeline.vad to silero-vad-ggml, so install the silero-vad-ggml model first (the gallery does not install it for you). The pipeline slots name this entry, so keep the installed model name as it is. Needs a LocalAI build whose llama.cpp pin includes the LFM3 audio support. Licensed under the LFM Open License v1.0 (https://huggingface.co/LiquidAI/LFM3-Audio-2B-GGUF/blob/main/LICENSE).

Repository: localaiLicense: lfm1.0

lfm3-audio-2b-q8-pipeline-vad
LiquidAI LFM3-Audio-2B in GGUF (Q8_0 weights with the Q8_0 audio projector), used as a chained realtime pipeline: transcription, chat and speech synthesis (voice female) all run on this one llama.cpp model, one stage after the other, instead of as one speech-to-speech session. Pick it when you want per-stage text, the regular chat path (tools, templates, streaming) or the transcript before the answer. Server-side turn detection is on: the entry sets pipeline.vad to silero-vad-ggml, so install the silero-vad-ggml model first (the gallery does not install it for you). The pipeline slots name this entry, so keep the installed model name as it is. Needs a LocalAI build whose llama.cpp pin includes the LFM3 audio support. Licensed under the LFM Open License v1.0 (https://huggingface.co/LiquidAI/LFM3-Audio-2B-GGUF/blob/main/LICENSE).

Repository: localaiLicense: lfm1.0

audio-cpp-vevo2-speech-to-speech
Vevo2 (audio.cpp, Q8_0) - speech to speech, served by the audio-cpp backend through /audio/transform. Post the source speech as `audio`, the target speaker's clip as `reference`, and the words being spoken as `params[text]`. The text is not optional and not a hint. Vevo2's speech-to-speech route is a text and prosody route: it reads the line it is resynthesising and refuses the run without one. /audio/transform has no text field on the wire, so the params map carries it and the backend lifts it into the engine's text input; `params[target_text]` is the same thing under the name Vevo2's own option table uses. Add `params[language]` when the line is not English. This entry pins task:s2s. Vevo2 also advertises plain voice conversion, which needs no text and which auto-routing picks first, so without the pin the text would be carried and then ignored. Drop the option to get voice conversion from the same weights. Q8_0 because it is the only build that fits alongside the rest of the gallery; upstream records the original and 16-bit builds as the cleaner ones, so expect drift on some routes.

Repository: localaiLicense: other