Model reference · open weights

Fun-Audio

LLMs FunAudioLLM Omni (any→any) 1 build Open weights 1k dl/mo

Fun-Audio is an open-weight language model from FunAudioLLM. Fun-Audio-Chat-8B (BF16) weighs 18.9 GB; the smallest configuration that runs it is 2× RTX 3060 12 GB.

For self-hosting, compare this build's requirements below with the GPU you plan to rent.

  • Fun-Audio-Chat is a large audio language model developed by FunAudioLLM for natural, low-latency voice interactions.
  • It features 9.5B parameters and supports a context length of 262144 tokens.
  • The model handles English and Chinese and is released under the Apache 2.0 license.

Summary of the FunAudioLLM/Fun-Audio-Chat-8B model card, 2026-11-04

What it is

Released byFunAudioLLM
Released2025-12-23
Parameters9.5B
VRAM18.9 GB for the weights

What it runs on

Memory and cards for Fun-Audio-Chat-8B (BF16)

18.9 GBweights, file size
147 MBcache per 1K tokens
753 MBruntime overhead, at least
262,144 tokenscontext max
CardRequests at onceContext maxMemory
8K each32K each
RTX 3060 12 GB … RTX 4060 Ti 16 GB
2 smaller cards
RTX 3090 24 GB324K23.4 GB
RTX 4090 24 GB324K23.4 GB
RTX 5090 32 GB9275K31.0 GB
L40S 48 GB205160K44.0 GB
A100 80 GB4812all 256K78.2 GB
H100 80 GB4411all 256K78.1 GB
RTX PRO 6000 Blackwell 96 GB5714all 256K93.8 GB
DGX Spark (GB10) 128 GB unified6917all 256K107 GB
H200 141 GB9423all 256K138 GB
B200 180 GB12531all 256K176 GB
2× RTX 3060 12 GB
tensor parallel
218K11.6 GB a card
2× RTX 4060 Ti 16 GB
tensor parallel
8268K15.4 GB a card
2× RTX 4090 24 GB
tensor parallel
215174K23.4 GB a card
2× RTX 3090 24 GB
tensor parallel
215174K23.4 GB a card
Memory needed at each load
Requests at once8K tokens each32K tokens each
120.9 GB24.5 GB
525.7 GB43.8 GB
829.3 GB58.3 GB
1639.0 GB97.0 GB
3258.3 GB174 GB
6497.0 GB329 GB

One card, with vLLM's small-card settings.

From the model card

What FunAudioLLM says about Fun-Audio

Read the model card

Fun-Audio-Chat is a Large Audio Language Model built for natural, low-latency voice interactions.

Model Description

Fun-Audio-Chat is a Large Audio Language Model built for natural, low-latency voice interactions. It introduces Dual-Resolution Speech Representations (an efficient 5Hz shared backbone + a 25Hz refined head) to cut compute while keeping high speech quality, and Core-Cocktail training to preserve strong text LLM capabilities. It delivers top-tier results on spoken QA, audio understanding, speech function calling, speech instruction-following and voice empathy benchmarks.

Key Features

  • Dual-Resolution Speech Representations: Efficient 5Hz frame rate (vs. 12.5Hz or 25Hz for other models), reducing GPU hours by nearly 50% while maintaining high speech quality
  • State-of-the-Art Performance: Ranks Top among models of the same size (around-8B parameters) on OpenAudioBench, VoiceBench, UltraEval-Audio, MMAU, MMAU-Pro, MMSU, Speech-ACEBench, Speech-BFCL, Speech-SmartInteract, VStyle
  • Comprehensive Capabilities: Supports spoken QA, audio understanding, speech function calling, speech instruction-following, voice empathy

Model Details

AttributeValue
Model Size~8B parameters
ArchitectureDual-Resolution Speech Representations
LanguagesEnglish, Chinese
LicenseApache 2.0

Requirements

  • Python == 3.12
  • PyTorch == 2.8.0
  • ffmpeg
  • GPU Memory: ~24GB for inference, 4×80GB for training

Installation

git clone --recurse-submodules https://github.com/FunAudioLLM/Fun-Audio-Chat
cd Fun-Audio-Chat

apt install ffmpeg
conda create -n FunAudioChat python=3.12 -y
conda activate FunAudioChat
pip install torch==2.8.0 torchaudio==2.8.0 --index-url https://download.pytorch.org/whl/cu128
pip install -r requirements.txt

Quick Start

Download Models

Using HuggingFace:

pip install huggingface-hub
hf download FunAudioLLM/Fun-Audio-Chat-8B --local-dir ./pretrained_models/Fun-Audio-Chat-8B
hf download FunAudioLLM/Fun-CosyVoice3-0.5B-2512 --local-dir ./pretrained_models/Fun-CosyVoice3-0.5B-2512

Or using ModelScope:

modelscope download --model FunAudioLLM/Fun-Audio-Chat-8B --local_dir pretrained_models/Fun-Audio-Chat-8B
modelscope download --model FunAudioLLM/Fun-CosyVoice3-0.5B-2512 --local_dir pretrained_models/Fun-CosyVoice3-0.5B-2512

Inference

export PYTHONPATH=`pwd`
# Speech-to-Text
python examples/infer_s2t.py
# Speech-to-Speech
python examples/infer_s2s.py

Evaluation

BenchmarkCategory
OpenAudioBenchSpoken QA
VoiceBenchSpoken QA
UltraEval-AudioSpeech-to-Speech
MMAU, MMAU-Pro, MMSUAudio Understanding
Speech-ACEBench, Speech-BFCL, Speech-SmartInteractSpeech Function Calling
VStyleSpeech Instruction-Following

For detailed evaluation instructions, please refer to the GitHub repository.

Citation

If you find this model useful, please cite our paper:

@article{funaudiochat2025,
  title={Fun-Audio-Chat Technical Report},
  author={Qian Chen and Luyao Cheng and Chong Deng and Xiangang Li and Jiaqing Liu and Chao-Hong Tan and Wen Wang and Junhao Xu and Jieping Ye and Qinglin Zhang and Qiquan Zhang and Jingren Zhou},
  year={2025},
  eprint={2512.20156},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2512.20156},
}

@misc{tan2025drvoiceparallelspeechtextvoice,
  title={DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations},
  author={Chao-Hong Tan and Qian Chen and Wen Wang and Chong Deng and Qinglin Zhang and Luyao Cheng and Hai Yu and Xin Zhang and Xiang Lv and Tianyu Zhao and Chong Zhang and Yukun Ma and Yafeng Chen and Hui Wang and Jiaqing Liu and Xiangang Li and Jieping Ye},
  year={2025},
  eprint={2506.09349},
  archivePrefix={arXiv},
  primaryClass={cs.CL},
  url={https://arxiv.org/abs/2506.09349},
}

License

This model is licensed under the Apache 2.0 License.

Acknowledgments

This project is based on the following excellent open-source projects:

Contact

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

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