🧠
Model

Flux Klein 9b Biglove Collection

by Granddyser granddyser/flux-klein-9b-biglove-collection
Free2AITools Nexus Index
58.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 49
P: Popularity 47
R: Recency 100
Q: Quality 65
Tech Context
9 Params
77 Ctx
Vital Performance
16.8K DL / 30D

Task categories from upstream metadata

🎨AI Art Gen
Low FNI signal 58.4 FNI Score
9B Params
0k Context
16.8K Downloads
24G GPU ~9GB Est. VRAM
Dense FLUX Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID granddyser/flux-klein-9b-biglove-collection
License CC-BY-NC-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{granddyser_flux_klein_9b_biglove_collection,
  author = {Granddyser},
  title = {Flux Klein 9b Biglove Collection Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Granddyser/flux-klein-9b-Biglove-Collection}},
  note = {Accessed via Free2AITools.}
}
APA Style
Granddyser. (2026). Flux Klein 9b Biglove Collection [Model]. Free2AITools. https://huggingface.co/Granddyser/flux-klein-9b-Biglove-Collection

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run flux-klein-9b-biglove-collection
πŸ€— HF Download
huggingface-cli download granddyser/flux-klein-9b-biglove-collection

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 49
Popularity (P) 47
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Flux Klein 9b Biglove Collection: Authority (A:49), Popularity (P:47), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
16.8KDownloads
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--granddyser--flux-klein-9b-biglove-collection
slug
granddyser--flux-klein-9b-biglove-collection
source
huggingface
author
Granddyser
license
CC-BY-NC-4.0
tags
diffusers, gguf, flux, flux2, flux-klein, fp8, quantized, text-to-image, image-generation, base_model:black-forest-labs/flux.2-klein-base-9b, license:cc-by-nc-4.0, region:us

βš™οΈ Technical Specs

architecture
flux
params billions
9
context length
77
pipeline tag
text-to-image
vram gb
8.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
16,799
stars
null
forks
null

Data indexed from public sources. Updated daily.