🧠
Soprano 1.1 80m model by ekwek
⭐ 42.1
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Model

Soprano 1.1 80m

by ekwek ekwek/soprano-1.1-80m
Free2AITools Nexus Index
42.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 55
P: Popularity 54
R: Recency 62
Q: Quality 65
Tech Context
0.08B Params
32.768K Ctx
Vital Performance
47.4K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 42.1 FNI Score
Tiny 0.08B Params
32k Context
47.4K Downloads
8G GPU ~3GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID ekwek/soprano-1.1-80m
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ekwek_soprano_1_1_80m,
  author = {ekwek},
  title = {Soprano 1.1 80m Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ekwek/Soprano-1.1-80M}},
  note = {Accessed via Free2AITools.}
}
APA Style
ekwek. (2026). Soprano 1.1 80m [Model]. Free2AITools. https://huggingface.co/ekwek/Soprano-1.1-80M

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run soprano-1.1-80m
πŸ€— HF Download
huggingface-cli download ekwek/soprano-1.1-80m
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 55
Popularity (P) 54
Recency (R) 62
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Soprano 1.1 80m: Authority (A:55), Popularity (P:54), Recency (R:62), 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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⚠️ 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
47.4KDownloads
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--ekwek--soprano-1.1-80m
slug
ekwek--soprano-1.1-80m
source
huggingface
author
ekwek
license
Apache-2.0
tags
qwen, 0.1B, text-generation, transformers, safetensors, qwen3, text-to-speech, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
0.08
context length
32,768
pipeline tag
text-to-speech
vram gb
2.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
47,356
stars
0
forks
0

Data indexed from public sources. Updated daily.