🧠
Visionix Alpha model by ehristoforu
⭐ 31.3
🧠
Model

Visionix Alpha

by ehristoforu ehristoforu/visionix-alpha
Free2AITools Nexus Index
31.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 48
P: Popularity 33
R: Recency 19
Q: Quality 65
Tech Context
2.57 Params
4.096K Ctx
Vital Performance
2.4K DL / 30D
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 31.3 FNI Score
Tiny 2.57B Params
4k Context
2.4K Downloads
8G GPU ~4GB Est. VRAM
Restricted CREATIVEML License
Model Information Summary
Entity Passport
Registry ID ehristoforu/visionix-alpha
License creativeml-openrail-m
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ehristoforu_visionix_alpha,
  author = {ehristoforu},
  title = {Visionix Alpha Model},
  year = {2024},
  howpublished = {\url{https://huggingface.co/ehristoforu/Visionix-alpha}},
  note = {Accessed via Free2AITools.}
}
APA Style
ehristoforu. (2024). Visionix Alpha [Model]. Free2AITools. https://huggingface.co/ehristoforu/Visionix-alpha

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run visionix-alpha
πŸ€— HF Download
huggingface-cli download ehristoforu/visionix-alpha

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 48
Popularity (P) 33
Recency (R) 19
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Visionix Alpha: Authority (A:48), Popularity (P:33), Recency (R:19), 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
2.4KDownloads
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--ehristoforu--visionix-alpha
slug
ehristoforu--visionix-alpha
source
huggingface
author
ehristoforu
license
creativeml-openrail-m
tags
diffusers, safetensors, stable-diffusion, sdxl, visionix, visionix-alpha, realism, hyperrealism, photorealism, photo, cinematic, nature, human, lighting, trained, text-to-image, en, license:creativeml-openrail-m, endpoints_compatible, diffusers:stablediffusionxlpipeline, region:us

βš™οΈ Technical Specs

params billions
2.57
context length
4,096
pipeline tag
text-to-image
vram gb
3.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
2,396
stars
0
forks
0

Data indexed from public sources. Updated daily.