GGUF / ggml conversion of FunAudioLLM/Fun-ASR-MLT-Nano-2512 for use with the funasr backend in CrispStrobe/CrispASR. Multilingual variant — same architecture as funasr-nano-GGUF, broader language coverage (~31 languages including Korean, Vietnamese, Indonesian, Thai, Malay, Filipino, Arabic, Hindi, Bulgarian, German, French, Spanish, Italian, Portuguese, Dutch, Polish, Czech, Romanian, Greek, Finnish, Swedish, Turkish, Persian, Danish, Hungarian, Macedonian, Russian).

The architecture is identical to Fun-ASR-Nano-2512:

70-block SenseVoiceSmall SANM encoder (1 entry block @ 560→512 + 49 main blocks + 20 "tp" blocks, all 512-dim, 4 heads, FSMN k=11 depthwise convolution branch)
2-block Transformer audio adaptor (512 → 2048 → 1024 prelude + 2× MHA blocks at 1024, FFN inner = 256)
Qwen3-0.6B LLM decoder (28 layers, GQA 16/8, head_dim 128, RoPE θ=1e6, RMSNorm eps=1e-6) — the same body as Qwen3-ASR's decoder
1261 tensors total; only the LLM weights are tuned differently between Nano and MLT-Nano.

Architecture note — no CTC path

Upstream config.yaml and funasr/models/fun_asr_nano/model.py declare a CTC decoder + head, but the published model.pt ships only audio_encoder.* + audio_adaptor.* + llm.* (zero ctc_decoder.* / ctc.ctc_lo.* keys). The LLM-decoder path is therefore the only viable inference path for these weights, and is what this GGUF and the CrispASR runtime implement.

Files

File	Size	Notes
`funasr-mlt-nano-2512-f16.gguf`	1.98 GB	F16, full precision reference
`funasr-mlt-nano-2512-q8_0.gguf`	1.27 GB	Q8_0, near-lossless
`funasr-mlt-nano-2512-q4_k.gguf`	897 MB	Q4_K — recommended default

Mixed-case + punctuation output (mlt-nano's multilingual vocab keeps both); no --punc-model post-processor needed.

Quick Start

bash

git clone https://github.com/CrispStrobe/CrispASR
cd CrispASR
cmake -B build-ninja-compile -G Ninja -DCMAKE_BUILD_TYPE=Release
cmake --build build-ninja-compile --target crispasr

# Auto-download (recommended Q4_K)
./build-ninja-compile/bin/crispasr -m fun-asr-mlt-nano --auto-download -f samples/jfk.wav

# Or pin a specific file
hf download cstr/funasr-mlt-nano-GGUF funasr-mlt-nano-2512-q4_k.gguf --local-dir .
./build-ninja-compile/bin/crispasr -m funasr-mlt-nano-2512-q4_k.gguf -f samples/jfk.wav

Licence + attribution

Upstream FunAudioLLM/Fun-ASR-MLT-Nano-2512:

Code (the funasr Python package): Apache-2.0.
Model weights: FunASR Model License v1.1 (Alibaba) — commercial use OK with attribution. Confirmed on the upstream-tracking discussion in CrispStrobe/CrispASR#99.

These GGUF files are a quantised / repackaged distribution of the upstream weights and inherit the FunASR Model License v1.1. Please attribute Alibaba / FunAudioLLM in downstream products.

If you use this model, please also cite the upstream FunASR work. See the upstream model card for the canonical citation.