MODEL PROFILE

cosyvoice3-0.5b-2512-GGUF

cstr · cosyvoice3-0.5b-2512-GGUF

GGUF conversion of FunAudioLLM/Fun-CosyVoice3-0.5B-2512 for use with CrispASR (`--backend cosyvoice3-tts`). CosyVoice3 is a streaming, multilingual, zero-shot voice-cloning TTS system from Alibaba's FunAudioLLM team. The 0.5B-2512 release is Apache-2.0 licensed and supports **9 languages plus 18 Chinese dialects**. Output is 24 kHz mono. Upstream ships two talker checkpoints in one repo: `llm.pt` (pre-trained) and `llm.rl.pt` (the same architecture after reinforcement learning, tuned by the authors for speech quality, pronunciation accuracy and generation stability). Only the talker differs — **flow, HiFT, CAMPPlus, the speech tokenizer and the voice bank are shared**, so switching is just pointing `-m` at the other LLM GGUF and leaving every companion file in place:

Speech synthesislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/30 03:35:35
OVERVIEW

Model overview

GGUF conversion of FunAudioLLM/Fun-CosyVoice3-0.5B-2512 for use with CrispASR (`--backend cosyvoice3-tts`). CosyVoice3 is a streaming, multilingual, zero-shot voice-cloning TTS system from Alibaba's FunAudioLLM team. The 0.5B-2512 release is Apache-2.0 licensed and supports **9 languages plus 18 Chinese dialects**. Output is 24 kHz mono. Upstream ships two talker checkpoints in one repo: `llm.pt` (pre-trained) and `llm.rl.pt` (the same architecture after reinforcement learning, tuned by the authors for speech quality, pronunciation accuracy and generation stability). Only the talker differs — **flow, HiFT, CAMPPlus, the speech tokenizer and the voice bank are shared**, so switching is just pointing `-m` at the other LLM GGUF and leaving every companion file in place:

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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Estimate monthly base token costs

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

Do open weights permit free commercial use?

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。