🧠
Sana Sprint 1.6b 1024px Teacher model by Efficient Large Model
⭐ 46.4
🧠
Model

Sana Sprint 1.6b 1024px Teacher

by Efficient Large Model efficient-large-model/sana_sprint_1.6b_1024px_teacher
Free2AITools Nexus Index
46.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 4
R: Recency 90
Q: Quality 65
Tech Context
1.6 Params
4.096K Ctx
Vital Performance
34 DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 46.4 FNI Score
Tiny 1.6B Params
4k Context
34 Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID efficient-large-model/sana_sprint_1.6b_1024px_teacher
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.5GB 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_sana_sprint_1_6b_1024px_teacher,
  author = {Efficient Large Model},
  title = {Sana Sprint 1.6b 1024px Teacher Model},
  year = {2025},
  howpublished = {\url{https://huggingface.co/Efficient-Large-Model/Sana_Sprint_1.6B_1024px_teacher}},
  note = {Accessed via Free2AITools.}
}
APA Style
Efficient Large Model. (2025). Sana Sprint 1.6b 1024px Teacher [Model]. Free2AITools. https://huggingface.co/Efficient-Large-Model/Sana_Sprint_1.6B_1024px_teacher

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run sana_sprint_1.6b_1024px_teacher
πŸ€— HF Download
huggingface-cli download efficient-large-model/sana_sprint_1.6b_1024px_teacher

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 29
Popularity (P) 4
Recency (R) 90
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Sana Sprint 1.6b 1024px Teacher: Authority (A:29), Popularity (P:4), Recency (R:90), 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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⚠️ 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
34Downloads
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--sana_sprint_1.6b_1024px_teacher
slug
efficient-large-model--sana_sprint_1.6b_1024px_teacher
source
huggingface
author
Efficient Large Model
license
Apache-2.0
tags
sana, sana-sprint, text-to-image, sana-sprint, 1024px_based_image_size, bf16, one-step diffusion, en, zh, arxiv:2503.09641, license:apache-2.0, region:us

βš™οΈ Technical Specs

params billions
1.6
context length
4,096
pipeline tag
text-to-image
vram gb
2.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
34

Data indexed from public sources. Updated daily.