🧠
dots.mocr model by Dots Studio
⭐ 61.4
🧠
Model

dots.mocr

by Dots Studio dots-studio/dots.mocr
Free2AITools Nexus Index
61.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 54
P: Popularity 63
R: Recency 92
Q: Quality 65
Tech Context
3.04 Params
4.096K Ctx
Vital Performance
306.1K DL / 30D
Source β†’
Low FNI signal 61.4 FNI Score
3.04B Params
4k Context
Hot 306.1K Downloads
8G GPU ~4GB Est. VRAM
Dense DOTSOCRFORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID dots-studio/dots.mocr
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{dots_studio_dots_mocr,
  author = {Dots Studio},
  title = {dots.mocr Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/dots-studio/dots.mocr}},
  note = {Accessed via Free2AITools.}
}
APA Style
Dots Studio. (2026). dots.mocr [Model]. Free2AITools. https://huggingface.co/dots-studio/dots.mocr

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run dots.mocr
πŸ€— HF Download
huggingface-cli download dots-studio/dots.mocr
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) 54
Popularity (P) 63
Recency (R) 92
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for dots.mocr: Authority (A:54), Popularity (P:63), Recency (R:92), 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
306.1KDownloads
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--dots-studio--dots.mocr
slug
dots-studio--dots.mocr
source
huggingface
author
Dots Studio
license
MIT
tags
dots_ocr, 1.3B, text-generation, dots_mocr, safetensors, image-to-text, ocr, document-parse, layout, table, formula, transformers, custom_code, image-text-to-text, conversational, en, zh, multilingual, arxiv:2603.13032, license:mit, eval-results, region:us

βš™οΈ Technical Specs

architecture
DotsOCRForCausalLM
params billions
3.04
context length
4,096
pipeline tag
image-text-to-text
vram gb
3.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
306,138
stars
null
forks
null

Data indexed from public sources. Updated daily.