🧠
CrisperWhisper model by nyralabs
⭐ 60.8
🧠
Model

CrisperWhisper

by nyralabs nyralabs/crisperwhisper
Free2AITools Nexus Index
60.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 53
R: Recency 95
Q: Quality 65
Tech Context
1.61 Params
448 Ctx
Vital Performance
41.7K DL / 30D
Source β†’
Low FNI signal 60.8 FNI Score
Tiny 1.61B Params
0k Context
41.7K Downloads
8G GPU ~3GB Est. VRAM
Dense WHISPERFORCONDITIONALGENERATION Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID nyralabs/crisperwhisper
License CC-BY-NC-4.0
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{nyralabs_crisperwhisper,
  author = {nyralabs},
  title = {CrisperWhisper Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nyralabs/CrisperWhisper}},
  note = {Accessed via Free2AITools.}
}
APA Style
nyralabs. (2026). CrisperWhisper [Model]. Free2AITools. https://huggingface.co/nyralabs/CrisperWhisper

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run crisperwhisper
πŸ€— HF Download
huggingface-cli download nyralabs/crisperwhisper
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) 56
Popularity (P) 53
Recency (R) 95
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for CrisperWhisper: Authority (A:56), Popularity (P:53), Recency (R:95), 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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πŸš€ What's Next?

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Deployment reference

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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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
41.7KDownloads
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--nyralabs--crisperwhisper
slug
nyralabs--crisperwhisper
source
huggingface
author
nyralabs
license
CC-BY-NC-4.0
tags
transformers, safetensors, whisper, automatic-speech-recognition, de, en, arxiv:2408.16589, arxiv:2110.13900, base_model:openai/whisper-large-v3, base_model:finetune:openai/whisper-large-v3, license:cc-by-nc-4.0, eval-results, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
WhisperForConditionalGeneration
params billions
1.61
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
41,723
stars
null
forks
null

Data indexed from public sources. Updated daily.