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lfm3-audio-2b
LiquidAI LFM3-Audio-2B in GGUF (Q4_K_M weights with the Q8_0 audio projector). An any-to-any model: one llama.cpp session takes speech or text and answers with speech, text or both, and the same model also transcribes speech (ASR, with a language hint) and synthesises speech with the named voices female or male. No VAD model is set: the client commits each turn with input_audio_buffer.commit. Use the -vad entry for automatic turn detection. Speech-to-speech over /v1/realtime is experimental and needs a LocalAI build whose llama.cpp pin includes the LFM3 audio and realtime 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
LiquidAI LFM3-Audio-2B in GGUF (Q8_0 weights with the Q8_0 audio projector). An any-to-any model: one llama.cpp session takes speech or text and answers with speech, text or both, and the same model also transcribes speech (ASR, with a language hint) and synthesises speech with the named voices female or male. No VAD model is set: the client commits each turn with input_audio_buffer.commit. Use the -vad entry for automatic turn detection. Speech-to-speech over /v1/realtime is experimental and needs a LocalAI build whose llama.cpp pin includes the LFM3 audio and realtime 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-vad
LiquidAI LFM3-Audio-2B in GGUF (Q4_K_M weights with the Q8_0 audio projector). An any-to-any model: one llama.cpp session takes speech or text and answers with speech, text or both, and the same model also transcribes speech (ASR, with a language hint) and synthesises speech with the named voices female or male. 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 VAD only decides when a turn ends; the model itself answers the speech. Speech-to-speech over /v1/realtime is experimental and needs a LocalAI build whose llama.cpp pin includes the LFM3 audio and realtime 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-vad
LiquidAI LFM3-Audio-2B in GGUF (Q8_0 weights with the Q8_0 audio projector). An any-to-any model: one llama.cpp session takes speech or text and answers with speech, text or both, and the same model also transcribes speech (ASR, with a language hint) and synthesises speech with the named voices female or male. 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 VAD only decides when a turn ends; the model itself answers the speech. Speech-to-speech over /v1/realtime is experimental and needs a LocalAI build whose llama.cpp pin includes the LFM3 audio and realtime support. Licensed under the LFM Open License v1.0 (https://huggingface.co/LiquidAI/LFM3-Audio-2B-GGUF/blob/main/LICENSE).

Repository: localaiLicense: lfm1.0