🧠
Whisper Large V3 2000 Steps Base Dataset model by milanakdj
⭐ 28.1
🧠
Model

Whisper Large V3 2000 Steps Base Dataset

by milanakdj milanakdj/whisper-large-v3-2000-steps-base-dataset
Free2AITools Nexus Index
28.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 61
Q: Quality 65
Tech Context
0.04B Params
448 Ctx
Vital Performance
21 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 28.1 FNI Score
Tiny 0.04B Params
0k Context
21 Downloads
8G GPU ~2GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID milanakdj/whisper-large-v3-2000-steps-base-dataset
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{milanakdj_whisper_large_v3_2000_steps_base_dataset,
  author = {milanakdj},
  title = {Whisper Large V3 2000 Steps Base Dataset Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/milanakdj/whisper-large-v3-2000-steps-base-dataset}},
  note = {Accessed via Free2AITools.}
}
APA Style
milanakdj. (2026). Whisper Large V3 2000 Steps Base Dataset [Model]. Free2AITools. https://huggingface.co/milanakdj/whisper-large-v3-2000-steps-base-dataset

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run whisper-large-v3-2000-steps-base-dataset
πŸ€— HF Download
huggingface-cli download milanakdj/whisper-large-v3-2000-steps-base-dataset
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) 2
Recency (R) 61
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Whisper Large V3 2000 Steps Base Dataset: Authority (A:0), Popularity (P:2), Recency (R:61), 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
21Downloads
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--milanakdj--whisper-large-v3-2000-steps-base-dataset
slug
milanakdj--whisper-large-v3-2000-steps-base-dataset
source
huggingface
author
milanakdj
license
Apache-2.0
tags
transformers, safetensors, whisper, automatic-speech-recognition, text-generation-inference, unsloth, en, base_model:openai/whisper-tiny, base_model:finetune:openai/whisper-tiny, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
WhisperForConditionalGeneration
params billions
0.04
context length
448
pipeline tag
automatic-speech-recognition
vram gb
1.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
21
stars
0
forks
0

Data indexed from public sources. Updated daily.