🧠
Model

Whisper Large V3 Finetuned Kinyarwanda Standard Speech V1.0

by ElizabethMwangi elizabethmwangi/whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0
Free2AITools Nexus Index
39.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 4
R: Recency 92
Q: Quality 65
Tech Context
1.54 Params
448 Ctx
Vital Performance
42 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 39.4 FNI Score
Tiny 1.54B Params
0k Context
42 Downloads
8G GPU ~3GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID elizabethmwangi/whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0
License Apache-2.0
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{elizabethmwangi_whisper_large_v3_finetuned_kinyarwanda_standard_speech_v1_0,
  author = {ElizabethMwangi},
  title = {Whisper Large V3 Finetuned Kinyarwanda Standard Speech V1.0 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ElizabethMwangi/whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0}},
  note = {Accessed via Free2AITools.}
}
APA Style
ElizabethMwangi. (2026). Whisper Large V3 Finetuned Kinyarwanda Standard Speech V1.0 [Model]. Free2AITools. https://huggingface.co/ElizabethMwangi/whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0
πŸ€— HF Download
huggingface-cli download elizabethmwangi/whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 4
Recency (R) 92
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Whisper Large V3 Finetuned Kinyarwanda Standard Speech V1.0: Authority (A:0), Popularity (P:4), Recency (R:92), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
42Downloads
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--elizabethmwangi--whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0
slug
elizabethmwangi--whisper-large-v3_finetuned_kinyarwanda_standard_speech_v1.0
source
huggingface
author
ElizabethMwangi
license
Apache-2.0
tags
safetensors, whisper, automatic-speech-recognition, kinyarwanda, rw, dataset:digitalumuganda/afrivoice_kinyarwanda, base_model:openai/whisper-large-v3, base_model:finetune:openai/whisper-large-v3, license:apache-2.0, 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
42

Data indexed from public sources. Updated daily.