🧠
Model

Fun Cosyvoice3 0.5b 2512 Gguf

by Lourdle hf-model--lourdle--fun-cosyvoice3-0.5b-2512-gguf
Free2AITools Nexus Index
41.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 32
R: Recency 95
Q: Quality 50
Tech Context
0.5B Params
4.096K Ctx
Vital Performance
2.1K DL / 30D
0.0%
Audited 41.5 FNI Score
Tiny 0.5B Params
4k Context
2.1K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--lourdle--fun-cosyvoice3-0.5b-2512-gguf
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~1.7GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__lourdle__fun_cosyvoice3_0.5b_2512_gguf,
  author = {Lourdle},
  title = {Fun Cosyvoice3 0.5b 2512 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Lourdle/Fun-CosyVoice3-0.5B-2512-GGUF}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Lourdle. (2026). Fun Cosyvoice3 0.5b 2512 Gguf [Model]. Free2AITools. https://huggingface.co/Lourdle/Fun-CosyVoice3-0.5B-2512-GGUF

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run fun-cosyvoice3-0.5b-2512-gguf
🤗 HF Download
huggingface-cli download lourdle/fun-cosyvoice3-0.5b-2512-gguf

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50
Authority (A) 0
Popularity (P) 32
Recency (R) 95
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Fun Cosyvoice3 0.5b 2512 Gguf: Semantic (S:50), Authority (A:0), Popularity (P:32), Recency (R:95), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

Fun-CosyVoice3-0.5B-2512-GGUF

Unofficial community GGUF release for CosyVoice3-2512.

This model pack is intended for use with cosyvoice.cpp.

Important Notice

  • This is not an official CosyVoice release.
  • The implementation is maintained by an independent community developer.
  • The C++ runtime project (cosyvoice.cpp) is MIT.
  • Model artifacts in this pack remain Apache-2.0.

Available Files

Current generated variants:

File Quantization Size (approx) Notes
CosyVoice3-2512_F32.gguf F32 3.21 GiB Highest precision, largest size
CosyVoice3-2512_F16.gguf F16 1.61 GiB High-quality baseline
CosyVoice3-2512_Q8_0.gguf Q8_0 0.88 GiB Near-F16 quality, smaller
CosyVoice3-2512_Q6_K_S.gguf Q6_K_S 0.78 GiB Good quality/size balance
CosyVoice3-2512_Q5_1.gguf Q5_1 0.64 GiB Better quality than Q5_0
CosyVoice3-2512_Q5_K_S.gguf Q5_K_S 0.61 GiB K-quant alternative
CosyVoice3-2512_Q5_0.gguf Q5_0 0.59 GiB Compact mid-quality
CosyVoice3-2512_Q4_1.gguf Q4_1 0.54 GiB Smaller size, audible pronunciation artifacts
CosyVoice3-2512_Q4_K_S.gguf Q4_K_S 0.54 GiB Compact, but speech quality artifacts are common
CosyVoice3-2512_Q4_0.gguf Q4_0 0.49 GiB Further quality degradation, often unclear speech
CosyVoice3-2512_Q3_K_S.gguf Q3_K_S 0.44 GiB Aggressive quantization
CosyVoice3-2512_Q2_K_S.gguf Q2_K_S 0.40 GiB Smallest, strongest quality trade-off

Quick Recommendations

  • Default recommendation: Q8_0 (near-lossless listening quality in current tests, with much smaller size than F16)
  • High-quality alternatives: F16 and Q6_K_S
  • Usable mid-tier options: Q5_1, Q5_K_S, Q5_0
  • Not recommended for quality-sensitive use: Q4_1, Q4_K_S, Q4_0, Q3_K_S, Q2_K_S

Subjective listening notes from current tests:

  • Q8_0: quality remains strong with little audible loss in typical samples.
  • Q6_K_S: still sounds good and is often a practical choice.
  • Q5 family (Q5_1 / Q5_K_S / Q5_0): generally usable with moderate degradation.
  • Q4 family: audible pronunciation artifacts are common.
  • Q3_K_S: quality drops further.
  • Q2_K_S: mostly degrades into noise and is usually unusable.

Runtime Requirements

  • Built for cosyvoice.cpp GGUF inference pipeline.
  • For CPU mode, parts of the runtime currently require x86 AVX2 support.
  • GPU backend behavior depends on GGML backend and driver stack.

Basic Usage

bash
cosyvoice-cli \
  --model CosyVoice3-2512_Q8_0.gguf \
  --prompt-speech prompt_speech.gguf \
  --text "Hello from CosyVoice" \
  --output out.wav

--prompt-speech expects a prompt-speech file in GGUF format (for example prompt_speech.gguf).

For runtime usage and documentation, see the cosyvoice.cpp repository:

Provenance

  • This work follows the architecture and inference behavior of upstream CosyVoice releases, then re-implements the pipeline for C++/GGML deployment.
  • Tokenizer implementation is adapted from llama.cpp and modified for this project.

License

  • Model files in this repository: Apache-2.0
  • Runtime code (cosyvoice.cpp): MIT

âš ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
2.1KDownloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--lourdle--fun-cosyvoice3-0.5b-2512-gguf
slug
lourdle--fun-cosyvoice3-0.5b-2512-gguf
source
huggingface
author
Lourdle
license
Apache-2.0
tags
gguf, text-to-speech, base_model:funaudiollm/fun-cosyvoice3-0.5b-2512, license:apache-2.0, region:us, onnx

âš™ī¸ Technical Specs

architecture
null
params billions
0.5
context length
4,096
pipeline tag
text-to-speech
vram gb
1.7
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
2,143
stars
0
forks
0

Data indexed from public sources. Updated daily.