---

license: other

license_name: lfm-open-license-v1.0

license_link: https://huggingface.co/LiquidAI/LFM2.5-Audio-1.5B-JP/blob/main/LICENSE

language:

- ja

tags:

- gguf

- crispasr

- asr

- tts

- speech-to-speech

- audio

- liquid-ai

- lfm2

base_model: LiquidAI/LFM2.5-Audio-1.5B-JP

---

LFM2.5-Audio-1.5B-JP GGUF

GGUF quantizations of LiquidAI/LFM2.5-Audio-1.5B-JP for CrispASR.

LFM2.5-Audio is Liquid AI's end-to-end multimodal speech model supporting ASR (speech-to-text), TTS (text-to-speech), and speech-to-speech in a single 1.5B parameter model. This is the Japanese variant.

Architecture

| Component | Details |

|-----------|---------|

| Encoder | 17-layer FastConformer (512-dim, 8 heads, rel-pos attention, dw-striding 8x subsampling) |

| Adapter | LayerNorm + Linear(512->2048) + GELU + Linear(2048->2048) |

| Backbone | 16-layer LFM2 hybrid conv+attention (2048-dim, 32 heads / 8 KV heads, RoPE theta=1M) |

| Depthformer | 6-layer transformer (1024-dim) with 8-codebook Mimi audio token generation |

| Audio codec | Mimi (8 codebooks, 24 kHz) |

| Parameters | 1.5B total |

Available quantizations

| File | Quant | Size | Notes |

|------|-------|------|-------|

| lfm2-audio-1.5b-jp-f16.gguf | F16 | ~3.1 GB | Full precision reference |

| lfm2-audio-1.5b-jp-q8_0.gguf | Q8_0 | ~1.7 GB | High quality |

| lfm2-audio-1.5b-jp-q5_k.gguf | Q5_K | ~1.6 GB | Good quality |

| lfm2-audio-1.5b-jp-q4_k.gguf | Q4_K | ~1.5 GB | Recommended (verified identical output on Japanese audio) |

Usage with CrispASR

# Transcribe Japanese audio
./crispasr -m lfm2-audio-1.5b-jp-q4_k.gguf -f audio.wav -l ja

# Or with auto-download
./crispasr --backend lfm2-audio -m auto -f audio.wav

Conversion

Converted from the original safetensors using:

python models/convert-lfm2-audio-to-gguf.py \
    --input LiquidAI/LFM2.5-Audio-1.5B-JP \
    --output lfm2-audio-1.5b-jp-f16.gguf

# Quantize
./crispasr-quantize lfm2-audio-1.5b-jp-f16.gguf lfm2-audio-1.5b-jp-q4_k.gguf q4_k

License

LFM Open License v1.0 - Commercial use permitted for entities with annual revenue under $10M USD. See the upstream license for full terms.

Components include: Apache-2.0 (NVIDIA NeMo), MIT (Kyutai Moshi), CC-BY-4.0 (Canary checkpoint).

Credits

• Model weights: LiquidAI
• GGUF conversion: CrispASR

Provenance and EU AI Act Art. 53 note

• Upstream model: LiquidAI/LFM2.5-Audio-1.5B-JP — published by LiquidAI.
• Upstream licence: other. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
• What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
• Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository. No training-content summary was found on the upstream model card at the time of writing; that documentation gap is upstream's and is not filled here.
• Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.