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Parakeet Ctc 0.6b Sapc2 model by Dys Asr
⭐ 39
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Model

Parakeet Ctc 0.6b Sapc2

by Dys Asr dys-asr/parakeet-ctc-0.6b-sapc2
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 99
Q: Quality 65
Tech Context
0.61B Params
4.096K Ctx
Vital Performance
11 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.61B Params
4k Context
11 Downloads
8G GPU ~2GB Est. VRAM
Dense PARAKEETFORCTC Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID dys-asr/parakeet-ctc-0.6b-sapc2
License Other
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{dys_asr_parakeet_ctc_0_6b_sapc2,
  author = {Dys Asr},
  title = {Parakeet Ctc 0.6b Sapc2 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dys-asr/parakeet-ctc-0.6b-sapc2}},
  note = {Accessed via Free2AITools.}
}
APA Style
Dys Asr. (2026). Parakeet Ctc 0.6b Sapc2 [Model]. Free2AITools. https://huggingface.co/dys-asr/parakeet-ctc-0.6b-sapc2

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run parakeet-ctc-0.6b-sapc2
πŸ€— HF Download
huggingface-cli download dys-asr/parakeet-ctc-0.6b-sapc2
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) 0
Popularity (P) 1
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Parakeet Ctc 0.6b Sapc2: Authority (A:0), Popularity (P:1), 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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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
11Downloads
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--dys-asr--parakeet-ctc-0.6b-sapc2
slug
dys-asr--parakeet-ctc-0.6b-sapc2
source
huggingface
author
Dys Asr
license
Other
tags
transformers, safetensors, parakeet_ctc, automatic-speech-recognition, dysarthria, disordered-speech, accessibility, parakeet, ctc, en, base_model:nvidia/parakeet-ctc-0.6b, base_model:finetune:nvidia/parakeet-ctc-0.6b, license:other, model-index, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
ParakeetForCTC
params billions
0.61
context length
4,096
pipeline tag
automatic-speech-recognition
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
11

Data indexed from public sources. Updated daily.