🧠

Model

Whisper Ja Anime V0.2

Name: Whisper Ja Anime V0.2
Author: efwkjn

by efwkjn efwkjn/whisper-ja-anime-v0.2

Free2AITools Nexus Index

32.2

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39

P: Popularity 11

R: Recency 39

Q: Quality 65

Tech Context

0.77B Params

448 Ctx

Vital Performance

145 DL / 30D

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 32.2 FNI Score

Tiny 0.77B Params

0k Context

145 Downloads

8G GPU ~2GB Est. VRAM

Dense WHISPERFORCONDITIONALGENERATION Architecture

Model Information Summary
Entity Passport
Registry ID	efwkjn/whisper-ja-anime-v0.2
Provider	huggingface

💾

Compute Threshold

~1.9GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

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* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{efwkjn_whisper_ja_anime_v0_2,
  author = {efwkjn},
  title = {Whisper Ja Anime V0.2 Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/efwkjn/whisper-ja-anime-v0.2}},
  note = {Accessed via Free2AITools.}
}

APA Style

efwkjn. (2025). Whisper Ja Anime V0.2 [Model]. Free2AITools. https://huggingface.co/efwkjn/whisper-ja-anime-v0.2

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run whisper-ja-anime-v0.2

🤗 HF Download

huggingface-cli download efwkjn/whisper-ja-anime-v0.2

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39

Popularity (P) 11

Recency (R) 39

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Whisper Ja Anime V0.2: Authority (A:39), Popularity (P:11), Recency (R:39), 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.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.