🧠
Firered Ocr Exl3 model by cgus
⭐ 37.6
🧠
Model

Firered Ocr Exl3

by cgus cgus/firered-ocr-exl3
Free2AITools Nexus Index
37.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 79
Q: Quality 65
Tech Context
1.19 Params
32.768K Ctx
Vital Performance
20 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.6 FNI Score
Tiny 1.19B Params
32k Context
20 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3VLFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID cgus/firered-ocr-exl3
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.4GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{cgus_firered_ocr_exl3,
  author = {cgus},
  title = {Firered Ocr Exl3 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/cgus/FireRed-OCR-exl3}},
  note = {Accessed via Free2AITools.}
}
APA Style
cgus. (2026). Firered Ocr Exl3 [Model]. Free2AITools. https://huggingface.co/cgus/FireRed-OCR-exl3

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run firered-ocr-exl3
πŸ€— HF Download
huggingface-cli download cgus/firered-ocr-exl3

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) 79
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Firered Ocr Exl3: Authority (A:0), Popularity (P:2), Recency (R:79), 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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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
20Downloads
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--cgus--firered-ocr-exl3
slug
cgus--firered-ocr-exl3
source
huggingface
author
cgus
license
Apache-2.0
tags
safetensors, qwen3_vl, image-to-text, arxiv:2603.01840, base_model:fireredteam/firered-ocr, base_model:quantized:fireredteam/firered-ocr, license:apache-2.0, 4-bit, exl3, region:us

βš™οΈ Technical Specs

architecture
Qwen3VLForConditionalGeneration
params billions
1.19
context length
32,768
pipeline tag
image-to-text
vram gb
3.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
20
stars
null
forks
null

Data indexed from public sources. Updated daily.