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Parrotlet A 2.5 Pro model by ekacare
⭐ 37.9
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Model

Parrotlet A 2.5 Pro

by ekacare ekacare/parrotlet-a-2.5-pro
Free2AITools Nexus Index
37.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 17
R: Recency 94
Q: Quality 50
Tech Context
Vital Performance
325 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.9 FNI Score
Tiny - Params
- Context
325 Downloads
Dense SPEECHLLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID ekacare/parrotlet-a-2.5-pro
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ekacare_parrotlet_a_2_5_pro,
  author = {ekacare},
  title = {Parrotlet A 2.5 Pro Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ekacare/parrotlet-a-2.5-pro}},
  note = {Accessed via Free2AITools.}
}
APA Style
ekacare. (2026). Parrotlet A 2.5 Pro [Model]. Free2AITools. https://huggingface.co/ekacare/parrotlet-a-2.5-pro

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download ekacare/parrotlet-a-2.5-pro
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) 17
Recency (R) 94
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Parrotlet A 2.5 Pro: Authority (A:0), Popularity (P:17), Recency (R:94), Quality (Q:50). 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
325Downloads
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-2.5-pro
slug
ekacare--parrotlet-a-2.5-pro
source
huggingface
author
ekacare
license
Other
tags
transformers, safetensors, speech-llm, feature-extraction, medical, speech, asr, multilingual, automatic-speech-recognition, custom_code, en, hi, mr, kn, te, base_model:google/medgemma-4b-it, base_model:finetune:google/medgemma-4b-it, license:other, region:us

βš™οΈ Technical Specs

architecture
SpeechLLM
pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
325

Data indexed from public sources. Updated daily.