🧠
Sana Sprint 1.6b model by nvidia
⭐ 42.5
🧠
Model

Sana Sprint 1.6b

by nvidia replicate-model--nvidia--sana-sprint-1.6b
Nexus Index
42.5 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 78
R: Recency 57
Q: Quality 45
Tech Context
1.6 Params
4.096K Ctx
Vital Performance
1.1M DL / 30D
0.0%
Audited 42.5 FNI Score
Tiny 1.6B Params
4k Context
Hot 1.1M Downloads
8G GPU ~3GB Est. VRAM
Restricted CUSTOM License
Model Information Summary
Entity Passport
Registry ID replicate-model--nvidia--sana-sprint-1.6b
License custom
Provider replicate
💾

Compute Threshold

~2.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{replicate_model__nvidia__sana_sprint_1.6b,
  author = {nvidia},
  title = {Sana Sprint 1.6b Model},
  year = {2026},
  howpublished = {\url{https://free2aitools.com/model/replicate-model--nvidia--sana-sprint-1.6b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
nvidia. (2026). Sana Sprint 1.6b [Model]. Free2AITools. https://free2aitools.com/model/replicate-model--nvidia--sana-sprint-1.6b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run sana-sprint-1.6b

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
42.5
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 78
Recency (R) 57
Quality (Q) 45

đŸ’Ŧ Index Insight

FNI V2.0 for Sana Sprint 1.6b: Semantic (S:50), Authority (A:0), Popularity (P:78), Recency (R:57), Quality (Q:45).

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

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Technical Deep Dive

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation

⚠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.

📝 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
1.1MDownloads
⚡ Data Source: Replicate ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Replicate 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
replicate-model--nvidia--sana-sprint-1.6b
slug
nvidia--sana-sprint-1.6b
source
replicate
author
nvidia
license
custom
tags
public, diffusion

⚙ī¸ Technical Specs

architecture
null
params billions
1.6
context length
4,096
pipeline tag
vram gb
2.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
1,110,240
stars
0
forks
0

Data indexed from public sources. Updated daily.