🧠
Model

Cosyvoice2 0.5b

by FunAudioLLM hf-model--funaudiollm--cosyvoice2-0.5b
Free2AITools Nexus Index
57.3 Top 100%
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 35
R: Recency 100
Q: Quality 65
Tech Context
0.5B Params
4.096K Ctx
Vital Performance
3.1K DL / 30D
0.0%
Audited 57.3 FNI Score
Tiny 0.5B Params
4k Context
3.1K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--funaudiollm--cosyvoice2-0.5b
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__funaudiollm__cosyvoice2_0.5b,
  author = {FunAudioLLM},
  title = {Cosyvoice2 0.5b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
FunAudioLLM. (2026). Cosyvoice2 0.5b [Model]. Free2AITools. https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run cosyvoice2-0.5b
🤗 HF Download
huggingface-cli download funaudiollm/cosyvoice2-0.5b

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 52
Popularity (P) 35
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Cosyvoice2 0.5b: Authority (A:52), Popularity (P:35), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

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
3.1KDownloads
🔄 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--funaudiollm--cosyvoice2-0.5b
slug
funaudiollm--cosyvoice2-0.5b
source
huggingface
author
FunAudioLLM
license
Apache-2.0
tags
onnx, safetensors, text-to-speech, zh, en, fr, es, ja, ko, it, ru, de, arxiv:2505.17589, arxiv:2412.10117, arxiv:2407.05407, license:apache-2.0, region:us

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
3,090
stars
0
forks
null

Data indexed from public sources. Updated daily.