🧠
Sana1.5 4.8b 1024px model by Efficient Large Model
⭐ 30.6
🧠
Model

Sana1.5 4.8b 1024px

by Efficient Large Model efficient-large-model/sana1.5_4.8b_1024px
Free2AITools Nexus Index
30.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 16
R: Recency 91
Q: Quality 65
Tech Context
4.8 Params
4.096K Ctx
Vital Performance
290 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 30.6 FNI Score
4.8B Params
4k Context
290 Downloads
8G GPU ~5GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID efficient-large-model/sana1.5_4.8b_1024px
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~4.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efficient_large_model_sana1_5_4_8b_1024px,
  author = {Efficient Large Model},
  title = {Sana1.5 4.8b 1024px Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/Efficient-Large-Model/SANA1.5_4.8B_1024px}},
  note = {Accessed via Free2AITools.}
}
APA Style
Efficient Large Model. (2025). Sana1.5 4.8b 1024px [Model]. Free2AITools. https://huggingface.co/Efficient-Large-Model/SANA1.5_4.8B_1024px

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sana1.5_4.8b_1024px
πŸ€— HF Download
huggingface-cli download efficient-large-model/sana1.5_4.8b_1024px

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 49
Popularity (P) 16
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sana1.5 4.8b 1024px: Authority (A:49), Popularity (P:16), Recency (R:91), 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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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.

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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
290Downloads
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--efficient-large-model--sana1.5_4.8b_1024px
slug
efficient-large-model--sana1.5_4.8b_1024px
source
huggingface
author
Efficient Large Model
license
Apache-2.0
tags
sana, text-to-image, sana-1.5, 1024px_based_image_size, bf16, en, zh, arxiv:2501.18427, region:us, license:apache-2.0

βš™οΈ Technical Specs

params billions
4.8
context length
4,096
pipeline tag
text-to-image
vram gb
4.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
290
stars
0
forks
0

Data indexed from public sources. Updated daily.