🧠
Mascarade Iot model by Electron Rare
⭐ 39.3
🧠
Model

Mascarade Iot

by Electron Rare electron-rare/mascarade-iot
Free2AITools Nexus Index
39.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 77
Q: Quality 65
Tech Context
1.72 Params
32.768K Ctx
Vital Performance
19 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39.3 FNI Score
Tiny 1.72B Params
32k Context
19 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID electron-rare/mascarade-iot
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{electron_rare_mascarade_iot,
  author = {Electron Rare},
  title = {Mascarade Iot Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/electron-rare/mascarade-iot}},
  note = {Accessed via Free2AITools.}
}
APA Style
Electron Rare. (2026). Mascarade Iot [Model]. Free2AITools. https://huggingface.co/electron-rare/mascarade-iot

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mascarade-iot
πŸ€— HF Download
huggingface-cli download electron-rare/mascarade-iot
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) 2
Recency (R) 77
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mascarade Iot: Authority (A:0), Popularity (P:2), Recency (R:77), 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
19Downloads
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--electron-rare--mascarade-iot
slug
electron-rare--mascarade-iot
source
huggingface
author
Electron Rare
license
Apache-2.0
tags
transformers, safetensors, qwen3, text-generation, iot, embedded, embedded-systems, electronics, microcontroller, mqtt, sensor, edge-ai, fine-tuned, lora, code-generation, mascarade, conversational, en, fr, base_model:qwen/qwen2.5-coder-1.5b-instruct, license:apache-2.0, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
1.72
context length
32,768
pipeline tag
text-generation
vram gb
3.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
19

Data indexed from public sources. Updated daily.