🧠
Mineru2.5 2509 1.2b model by opendatalab
⭐ 49.1
🧠
Model

Mineru2.5 2509 1.2b

by opendatalab hf-model--opendatalab--mineru2.5-2509-1.2b
Nexus Index
49.1 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 70
R: Recency 96
Q: Quality 65
Tech Context
1.2 Params
4.096K Ctx
Vital Performance
1.6M DL / 30D
0.0%
Source →
Audited 49.1 FNI Score
Tiny 1.2B Params
4k Context
Hot 1.6M Downloads
8G GPU ~3GB Est. VRAM
Restricted AGPL License
Model Information Summary
Entity Passport
Registry ID hf-model--opendatalab--mineru2.5-2509-1.2b
License agpl-3.0
Provider huggingface
💾

Compute Threshold

~2.2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__opendatalab__mineru2.5_2509_1.2b,
  author = {opendatalab},
  title = {Mineru2.5 2509 1.2b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/opendatalab/mineru2.5-2509-1.2b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
opendatalab. (2026). Mineru2.5 2509 1.2b [Model]. Free2AITools. https://huggingface.co/opendatalab/mineru2.5-2509-1.2b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run mineru2.5-2509-1.2b
🤗 HF Download
huggingface-cli download opendatalab/mineru2.5-2509-1.2b
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
49.1
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 70
Recency (R) 96
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Mineru2.5 2509 1.2b: Semantic (S:50), Authority (A:0), Popularity (P:70), Recency (R:96), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
1.6MDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--opendatalab--mineru2.5-2509-1.2b
slug
opendatalab--mineru2.5-2509-1.2b
source
huggingface
author
opendatalab
license
agpl-3.0
tags
transformers, safetensors, qwen2_vl, image-text-to-text, conversational, zh, en, arxiv:2509.22186, license:agpl-3.0, eval-results, text-generation-inference, endpoints_compatible, deploy:azure, region:us

⚙ī¸ Technical Specs

architecture
null
params billions
1.2
context length
4,096
pipeline tag
image-text-to-text
vram gb
2.2
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
1,566,196
stars
0
forks
0

Data indexed from public sources. Updated daily.