🧠
Parrotlet A En 5b model by ekacare
⭐ 37.3
🧠
Model

Parrotlet A En 5b

by ekacare ekacare/parrotlet-a-en-5b
Free2AITools Nexus Index
37.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 19
R: Recency 62
Q: Quality 65
Tech Context
5 Params
4.096K Ctx
Vital Performance
463 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.3 FNI Score
5B Params
4k Context
463 Downloads
8G GPU ~5GB Est. VRAM
Dense SPEECHLLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID ekacare/parrotlet-a-en-5b
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ekacare_parrotlet_a_en_5b,
  author = {ekacare},
  title = {Parrotlet A En 5b Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/ekacare/parrotlet-a-en-5b}},
  note = {Accessed via Free2AITools.}
}
APA Style
ekacare. (2025). Parrotlet A En 5b [Model]. Free2AITools. https://huggingface.co/ekacare/parrotlet-a-en-5b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run parrotlet-a-en-5b
πŸ€— HF Download
huggingface-cli download ekacare/parrotlet-a-en-5b
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) 39
Popularity (P) 19
Recency (R) 62
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Parrotlet A En 5b: Authority (A:39), Popularity (P:19), Recency (R:62), 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.

Social Proof

HuggingFace Hub
463Downloads
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--ekacare--parrotlet-a-en-5b
slug
ekacare--parrotlet-a-en-5b
source
huggingface
author
ekacare
license
MIT
tags
transformers, safetensors, speech-llm, feature-extraction, medical, speech, asr, automatic-speech-recognition, custom_code, en, base_model:google/medgemma-4b-it, base_model:finetune:google/medgemma-4b-it, license:mit, region:us, image-feature-extraction

βš™οΈ Technical Specs

architecture
SpeechLLM
params billions
5
context length
4,096
pipeline tag
automatic-speech-recognition
vram gb
5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
463
stars
0
forks
0

Data indexed from public sources. Updated daily.