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// FunAudioLLM speech · Speech-to-text

Fun-ASR-MLT-Nano-2512: VRAM & local deployment

Speech-to-text model published by Alibaba Tongyi Lab.

released 2025-12-15licence: Commercial OKmemory figures are estimates

01Specs

PublisherAlibaba Tongyi Lab · FunAudioLLM
Family / seriesFunAudioLLM speech · Fun-ASR-MLT-Nano
TypeSpeech-to-text (automatic-speech-recognition)
Parametersnot stated in official metadata
LicenceApache-2.0 · Commercial OKPermissive licence (Apache-2.0 / MIT / CC-BY / OpenMDW): commercial use allowed.
Released2025-12-15 (Hugging Face repo created)

02How much VRAM it needs (estimate)

Speech models are small; the weight size is close to the total memory needed.

No estimate: the official metadata does not give a parameter count. Check the model card for tested hardware.

Bits per weight: BF16 16, FP8 8.5, 4-bit 4.85. “Fits” = total ≤ 90% of memory; Mac GPU can use ~2/3 of unified memory (≤36GB) or ~3/4 (larger). For MoE, all experts must be in memory, so size by total parameters. Method →

03How to run it

Only runtimes the publisher or the runtime’s official library names for this model.

Which inference engine to choose →

04Official repositories & quantised builds

1 official repo(s) from FunAudioLLM.

05Other FunAudioLLM speech models

All 5 →
ModelParams4-bit totalReleased
Fun-ASR-Nano-2512-hf830M1.1 GB2026-05-24
Fun-CosyVoice3-0.5B-2512500M0.8 GB2025-12-11
CosyVoice2-0.5B500M0.8 GB2025-07-29
SenseVoiceSmall——2024-07-03

06Sources

Data checked 2026-08-05. Parameters, context and licence are copied from the official repository; memory figures are our estimates.

Data updated: Self-host open models(UTC+8)