🧠
Spear Xlarge Speech Audio model by marcoyang
⭐ 56.3
🧠
Model

Spear Xlarge Speech Audio

by marcoyang marcoyang/spear-xlarge-speech-audio
Free2AITools Nexus Index
56.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 47
R: Recency 99
Q: Quality 65
Tech Context
0.6B Params
4.096K Ctx
Vital Performance
15.1K DL / 30D
Source β†’
Low FNI signal 56.3 FNI Score
Tiny 0.6B Params
4k Context
15.1K Downloads
8G GPU ~2GB Est. VRAM
Dense SPEARMODEL Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID marcoyang/spear-xlarge-speech-audio
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{marcoyang_spear_xlarge_speech_audio,
  author = {marcoyang},
  title = {Spear Xlarge Speech Audio Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/marcoyang/spear-xlarge-speech-audio}},
  note = {Accessed via Free2AITools.}
}
APA Style
marcoyang. (2026). Spear Xlarge Speech Audio [Model]. Free2AITools. https://huggingface.co/marcoyang/spear-xlarge-speech-audio

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run spear-xlarge-speech-audio
πŸ€— HF Download
huggingface-cli download marcoyang/spear-xlarge-speech-audio
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) 44
Popularity (P) 47
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Spear Xlarge Speech Audio: Authority (A:44), Popularity (P:47), Recency (R:99), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
15.1KDownloads
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--marcoyang--spear-xlarge-speech-audio
slug
marcoyang--spear-xlarge-speech-audio
source
huggingface
author
marcoyang
license
Apache-2.0
tags
transformers, safetensors, spear, image-feature-extraction, speech, audio, speech-representation-learning, audio-representation-learning, self-supervised-learning, feature-extraction, legacy, v1, arxiv:2510.25955, custom_code, arxiv:2310.11230, arxiv:2105.01051, arxiv:2203.03022, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
SpearModel
params billions
0.6
context length
4,096
pipeline tag
feature-extraction
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
15,059
stars
null
forks
null

Data indexed from public sources. Updated daily.