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Lumynax Ocr Trocr Large Printed model by AbteeXAILab
⭐ 39
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Model

Lumynax Ocr Trocr Large Printed

by AbteeXAILab abteexailab/lumynax-ocr-trocr-large-printed
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 33
R: Recency 91
Q: Quality 65
Tech Context
0.61B Params
4.096K Ctx
Vital Performance
2.4K DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.61B Params
4k Context
2.4K Downloads
8G GPU ~2GB Est. VRAM
Dense VISIONENCODERDECODERMODEL Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID abteexailab/lumynax-ocr-trocr-large-printed
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~1.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{abteexailab_lumynax_ocr_trocr_large_printed,
  author = {AbteeXAILab},
  title = {Lumynax Ocr Trocr Large Printed Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/AbteeXAILab/lumynax-ocr-trocr-large-printed}},
  note = {Accessed via Free2AITools.}
}
APA Style
AbteeXAILab. (2026). Lumynax Ocr Trocr Large Printed [Model]. Free2AITools. https://huggingface.co/AbteeXAILab/lumynax-ocr-trocr-large-printed

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run lumynax-ocr-trocr-large-printed
πŸ€— HF Download
huggingface-cli download abteexailab/lumynax-ocr-trocr-large-printed
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) 33
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Lumynax Ocr Trocr Large Printed: Authority (A:0), Popularity (P:33), Recency (R:91), 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
2.4KDownloads
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--abteexailab--lumynax-ocr-trocr-large-printed
slug
abteexailab--lumynax-ocr-trocr-large-printed
source
huggingface
author
AbteeXAILab
license
MIT
tags
transformers, pytorch, safetensors, vision-encoder-decoder, image-text-to-text, abteex-ai-labs, aotearoa, local-first, lumynax, new-zealand, ocr, printed, sovereign-ai, trocr, text-generation, en, mi, license:mit, endpoints_compatible, region:us, legacy, outdated, image-to-text, base_model:microsoft/trocr-large-printed, base_model:finetune:microsoft/trocr-large-printed

βš™οΈ Technical Specs

architecture
VisionEncoderDecoderModel
params billions
0.61
context length
4,096
pipeline tag
image-to-text
vram gb
1.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,357

Data indexed from public sources. Updated daily.