🧠
Whisper Large V3 Turbo Darwin Noesis Fp16 model by AMAImedia
⭐ 37.5
🧠
Model

Whisper Large V3 Turbo Darwin Noesis Fp16

by AMAImedia amaimedia/whisper-large-v3-turbo-darwin-noesis-fp16
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 4
R: Recency 99
Q: Quality 65
Tech Context
1.54 Params
448 Ctx
Vital Performance
34 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny 1.54B Params
0k Context
34 Downloads
8G GPU ~3GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID amaimedia/whisper-large-v3-turbo-darwin-noesis-fp16
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{amaimedia_whisper_large_v3_turbo_darwin_noesis_fp16,
  author = {AMAImedia},
  title = {Whisper Large V3 Turbo Darwin Noesis Fp16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AMAImedia/Whisper-Large-V3-Turbo-Darwin-NOESIS-FP16}},
  note = {Accessed via Free2AITools.}
}
APA Style
AMAImedia. (2026). Whisper Large V3 Turbo Darwin Noesis Fp16 [Model]. Free2AITools. https://huggingface.co/AMAImedia/Whisper-Large-V3-Turbo-Darwin-NOESIS-FP16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run whisper-large-v3-turbo-darwin-noesis-fp16
πŸ€— HF Download
huggingface-cli download amaimedia/whisper-large-v3-turbo-darwin-noesis-fp16

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 4
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Whisper Large V3 Turbo Darwin Noesis Fp16: Authority (A:29), Popularity (P:4), 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
34Downloads
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--amaimedia--whisper-large-v3-turbo-darwin-noesis-fp16
slug
amaimedia--whisper-large-v3-turbo-darwin-noesis-fp16
source
huggingface
author
AMAImedia
license
MIT
tags
safetensors, whisper, asr, speech-recognition, merge, encoder-average, noesis, dhcf-fno, whisper-large-v3, whisper-large-v3-turbo, automatic-speech-recognition, multilingual, base_model:openai/whisper-large-v3, base_model:merge:openai/whisper-large-v3, base_model:openai/whisper-large-v3-turbo, base_model:merge:openai/whisper-large-v3-turbo, license:mit, region:us

βš™οΈ Technical Specs

architecture
WhisperForConditionalGeneration
params billions
1.54
context length
448
pipeline tag
automatic-speech-recognition
vram gb
2.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
34

Data indexed from public sources. Updated daily.