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Termux Os Asset Qwen3asr Htp model by Johnson Yo
⭐ 39.2
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Model

Termux Os Asset Qwen3asr Htp

by Johnson Yo johnson-yo/termux_os-asset-qwen3asr-htp
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 14
R: Recency 91
Q: Quality 50
Tech Context
Vital Performance
227 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
Tiny - Params
- Context
227 Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID johnson-yo/termux_os-asset-qwen3asr-htp
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{johnson_yo_termux_os_asset_qwen3asr_htp,
  author = {Johnson Yo},
  title = {Termux Os Asset Qwen3asr Htp Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/johnson-yo/termux_os-asset-qwen3asr-htp}},
  note = {Accessed via Free2AITools.}
}
APA Style
Johnson Yo. (2026). Termux Os Asset Qwen3asr Htp [Model]. Free2AITools. https://huggingface.co/johnson-yo/termux_os-asset-qwen3asr-htp

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download johnson-yo/termux_os-asset-qwen3asr-htp

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) 14
Recency (R) 91
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Termux Os Asset Qwen3asr Htp: Authority (A:0), Popularity (P:14), Recency (R:91), 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
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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
227Downloads
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--johnson-yo--termux_os-asset-qwen3asr-htp
slug
johnson-yo--termux_os-asset-qwen3asr-htp
source
huggingface
author
Johnson Yo
license
Apache-2.0
tags
onnx, gguf, automatic-speech-recognition, termux-os, audio, zh, en, base_model:qwen/qwen3-asr-0.6b, base_model:quantized:qwen/qwen3-asr-0.6b, license:apache-2.0, endpoints_compatible, region:us, conversational, qualcomm-htp

βš™οΈ Technical Specs

pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
227

Data indexed from public sources. Updated daily.