🧠
Vibevoice Large model by ehartford
⭐ 33.9
🧠
Model

Vibevoice Large

by ehartford ehartford/vibevoice-large
Free2AITools Nexus Index
33.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 1
R: Recency 50
Q: Quality 65
Tech Context
9.34 Params
4.096K Ctx
Vital Performance
9 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 33.9 FNI Score
9.34B Params
4k Context
9 Downloads
24G GPU ~9GB Est. VRAM
Dense VIBEVOICEFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ehartford/vibevoice-large
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ehartford_vibevoice_large,
  author = {ehartford},
  title = {Vibevoice Large Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/ehartford/VibeVoice-Large}},
  note = {Accessed via Free2AITools.}
}
APA Style
ehartford. (2025). Vibevoice Large [Model]. Free2AITools. https://huggingface.co/ehartford/VibeVoice-Large

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run vibevoice-large
πŸ€— HF Download
huggingface-cli download ehartford/vibevoice-large

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 1
Recency (R) 50
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Vibevoice Large: Authority (A:29), Popularity (P:1), Recency (R:50), 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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Deployment reference

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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.

Social Proof

HuggingFace Hub
9Downloads
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--ehartford--vibevoice-large
slug
ehartford--vibevoice-large
source
huggingface
author
ehartford
license
MIT
tags
safetensors, vibevoice, podcast, text-to-speech, en, zh, arxiv:2508.19205, arxiv:2412.08635, license:mit, region:us

βš™οΈ Technical Specs

architecture
VibeVoiceForConditionalGeneration
params billions
9.34
context length
4,096
pipeline tag
text-to-speech
vram gb
8.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
9
stars
0
forks
0

Data indexed from public sources. Updated daily.