🧠
OmniVoice model by egazo
⭐ 39.2
🧠
Model

OmniVoice

by egazo egazo/omnivoice
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 80
Q: Quality 65
Tech Context
0.61B Params
4.096K Ctx
Vital Performance
21 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
Tiny 0.61B Params
4k Context
21 Downloads
8G GPU ~2GB Est. VRAM
Dense OMNIVOICE Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID egazo/omnivoice
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{egazo_omnivoice,
  author = {egazo},
  title = {OmniVoice Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/egazo/OmniVoice}},
  note = {Accessed via Free2AITools.}
}
APA Style
egazo. (2026). OmniVoice [Model]. Free2AITools. https://huggingface.co/egazo/OmniVoice

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run omnivoice
πŸ€— HF Download
huggingface-cli download egazo/omnivoice

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 2
Recency (R) 80
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for OmniVoice: Authority (A:0), Popularity (P:2), Recency (R:80), 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
21Downloads
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--egazo--omnivoice
slug
egazo--omnivoice
source
huggingface
author
egazo
license
Apache-2.0
tags
omnivoice, safetensors, zero-shot, multilingual, voice-cloning, voice-design, text-to-speech, aae, aal, aao, ab, abb, abn, abr, abs, abv, acm, acw, acx, adf, adx, ady, aeb, aec, af, afb, afo, ahl, ahs, ajg, aju, ala, aln, alo, am, amu, an, anc, ank, anp, anw, aom, apc, apd, arb, arq, ars, ary, arz, as, ast, avl, awo, ayl, ayp, az, ba, bag, bas, bax, bba, bbj, bbl, bbu, bce, bci, bcs, bcy, bda, bde, bdm, be, beb, bew, bfd, bft, bg, bgp, bhb, bhh, bho, bhp, bhr, bjj, bjk, bjn, bjt, bkh, bkm, bky,

βš™οΈ Technical Specs

architecture
OmniVoice
params billions
0.61
context length
4,096
pipeline tag
text-to-speech
vram gb
1.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
21

Data indexed from public sources. Updated daily.