🧠
Lightonocr 2 1b Gguf model by phungo156
⭐ 38.3
🧠
Model

Lightonocr 2 1b Gguf

by phungo156 hf-model--phungo156--lightonocr-2-1b-gguf
Nexus Index
38.3 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 17
R: Recency 87
Q: Quality 50
Tech Context
1 Params
4.096K Ctx
Vital Performance
351 DL / 30D
0.0%
Source →
Audited 38.3 FNI Score
Tiny 1B Params
4k Context
351 Downloads
8G GPU ~2GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID hf-model--phungo156--lightonocr-2-1b-gguf
Provider huggingface
💾

Compute Threshold

~2GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__phungo156__lightonocr_2_1b_gguf,
  author = {phungo156},
  title = {Lightonocr 2 1b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/phungo156/lightonocr-2-1b-gguf}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
phungo156. (2026). Lightonocr 2 1b Gguf [Model]. Free2AITools. https://huggingface.co/phungo156/lightonocr-2-1b-gguf

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run lightonocr-2-1b-gguf
🤗 HF Download
huggingface-cli download phungo156/lightonocr-2-1b-gguf

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
38.3
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 17
Recency (R) 87
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Lightonocr 2 1b Gguf: Semantic (S:50), Authority (A:0), Popularity (P:17), Recency (R:87), Quality (Q:50).

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?

📊

Find Training Datasets

Discover datasets compatible with this model

📈

Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

Understand deployment options

Technical Deep Dive

This are the quantizations of the model LightOnOCR-2-1B

Try to use the best quality you can run.

Quality order: BF16 > F16 > Q8_0 > Q6_K > Q5_K_M > IQ4_NL > IQ4_XS > Q4_K_M

For the mmproj, try to use the F32 version as it will produce the best results.
Quality order: F32 > BF16 > F16

⚠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
351Downloads
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--phungo156--lightonocr-2-1b-gguf
slug
phungo156--lightonocr-2-1b-gguf
source
huggingface
author
phungo156
license
tags
gguf, image-to-text, base_model:lightonai/lightonocr-2-1b, base_model:quantized:lightonai/lightonocr-2-1b, endpoints_compatible, region:us, conversational

⚙ī¸ Technical Specs

architecture
null
params billions
1
context length
4,096
pipeline tag
image-to-text
vram gb
2
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
351
stars
0
forks
0

Data indexed from public sources. Updated daily.