🧠
Supertonic 3 Int8 model by askurios8
⭐ 37.5
🧠
Model

Supertonic 3 Int8

by askurios8 askurios8/supertonic-3-int8
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 50
Tech Context
Vital Performance —
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
0 Downloads
Restricted OPENRAIL License
Model Information Summary
Entity Passport
Registry ID askurios8/supertonic-3-int8
License OpenRAIL
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{askurios8_supertonic_3_int8,
  author = {askurios8},
  title = {Supertonic 3 Int8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/askurios8/supertonic-3-int8}},
  note = {Accessed via Free2AITools.}
}
APA Style
askurios8. (2026). Supertonic 3 Int8 [Model]. Free2AITools. https://huggingface.co/askurios8/supertonic-3-int8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download askurios8/supertonic-3-int8

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) 0
Recency (R) 99
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Supertonic 3 Int8: Authority (A:0), Popularity (P:0), Recency (R:99), Quality (Q:50). 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--askurios8--supertonic-3-int8
slug
askurios8--supertonic-3-int8
source
huggingface
author
askurios8
license
OpenRAIL
tags
onnx, int8, quantized, on-device, text-to-speech, ko, en, base_model:supertone/supertonic-3, base_model:quantized:supertone/supertonic-3, license:openrail, region:us

βš™οΈ Technical Specs

pipeline tag
text-to-speech

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.