🧠
Cosyvoice2 0.5b model by FunAudioLLM
⭐ 57.3
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Model

Cosyvoice2 0.5b

by FunAudioLLM funaudiollm/cosyvoice2-0.5b
Free2AITools Nexus Index
57.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 52
P: Popularity 36
R: Recency 98
Q: Quality 65
Tech Context
0.5B Params
4.096K Ctx
Vital Performance
3.5K DL / 30D
Source β†’
Low FNI signal 57.3 FNI Score
Tiny 0.5B Params
4k Context
3.5K Downloads
8G GPU ~2GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID funaudiollm/cosyvoice2-0.5b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
APA Style
FunAudioLLM. (2026). Cosyvoice2 0.5b [Model]. Free2AITools. https://huggingface.co/FunAudioLLM/CosyVoice2-0.5B

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run cosyvoice2-0.5b
πŸ€— HF Download
huggingface-cli download funaudiollm/cosyvoice2-0.5b

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 52
Popularity (P) 36
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Cosyvoice2 0.5b: Authority (A:52), Popularity (P:36), Recency (R:98), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Technical Deep Dive

⚠️ 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 β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ 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
3.5KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” 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

βš™οΈ 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 β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
3,454
stars
null
forks
null

Data indexed from public sources. Updated daily.