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Granite Vision 3.3 2b Be Gguf model by taronaeo
⭐ 41
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Model

Granite Vision 3.3 2b Be Gguf

by taronaeo taronaeo/granite-vision-3.3-2b-be-gguf
Free2AITools Nexus Index
41.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 26
R: Recency 97
Q: Quality 65
Tech Context
2 Params
4.096K Ctx
Vital Performance
995 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 41 FNI Score
Tiny 2B Params
4k Context
995 Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID taronaeo/granite-vision-3.3-2b-be-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{taronaeo_granite_vision_3_3_2b_be_gguf,
  author = {taronaeo},
  title = {Granite Vision 3.3 2b Be Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/taronaeo/Granite-Vision-3.3-2B-BE-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
taronaeo. (2026). Granite Vision 3.3 2b Be Gguf [Model]. Free2AITools. https://huggingface.co/taronaeo/Granite-Vision-3.3-2B-BE-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run granite-vision-3.3-2b-be-gguf
πŸ€— HF Download
huggingface-cli download taronaeo/granite-vision-3.3-2b-be-gguf

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) 26
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Granite Vision 3.3 2b Be Gguf: Authority (A:0), Popularity (P:26), Recency (R:97), 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.

Social Proof

HuggingFace Hub
995Downloads
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--taronaeo--granite-vision-3.3-2b-be-gguf
slug
taronaeo--granite-vision-3.3-2b-be-gguf
source
huggingface
author
taronaeo
license
Apache-2.0
tags
gguf, image-to-text, mainframe, s390x, z15, z16, z17, big-endian, arxiv:2502.09927, base_model:ibm-granite/granite-vision-3.3-2b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
2
context length
4,096
pipeline tag
image-to-text
vram gb
2.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
995

Data indexed from public sources. Updated daily.