🧠
Rh Flux2 Klein9b Lora model by RunningHubAI
⭐ 39
🧠
Model

Rh Flux2 Klein9b Lora

by RunningHubAI runninghubai/rh-flux2-klein9b-lora
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 99
Q: Quality 65
Tech Context
9 Params
2.048K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

🎨AI Art Gen

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
9B Params
2k Context
0 Downloads
24G GPU ~9GB Est. VRAM
Model Information Summary
Entity Passport
Registry ID runninghubai/rh-flux2-klein9b-lora
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{runninghubai_rh_flux2_klein9b_lora,
  author = {RunningHubAI},
  title = {Rh Flux2 Klein9b Lora Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RunningHubAI/rh-flux2-klein9b-lora}},
  note = {Accessed via Free2AITools.}
}
APA Style
RunningHubAI. (2026). Rh Flux2 Klein9b Lora [Model]. Free2AITools. https://huggingface.co/RunningHubAI/rh-flux2-klein9b-lora

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run rh-flux2-klein9b-lora
πŸ€— HF Download
huggingface-cli download runninghubai/rh-flux2-klein9b-lora

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 0
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Rh Flux2 Klein9b Lora: Authority (A:0), Popularity (P:0), Recency (R:99), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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.
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--runninghubai--rh-flux2-klein9b-lora
slug
runninghubai--rh-flux2-klein9b-lora
source
huggingface
author
RunningHubAI
tags
comfyui, lora, text-to-image, region:us

βš™οΈ Technical Specs

params billions
9
context length
2,048
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
0

Data indexed from public sources. Updated daily.