FLUX.2-klein-9B-lora-set
Released by kalle07 in 2026, FLUX.2-klein-9B-lora-set is a 9 billion parameter chat model. FLUX.2-klein-9B-lora-set is an open-weights chat model with roughly 9 billion parameters.
by kalle07 · 9B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use FLUX.2-klein-9B-lora-set in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kalle07 API key. osFoundry discovers FLUX.2-klein-9B-lora-set automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
FLUX.2-klein-9B-lora-set is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
What hardware can run FLUX.2-klein-9B-lora-set
FLUX.2-klein-9B-lora-set runs on a single 16GB consumer GPU (~6 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~22 GB).
FLUX.2-klein-9B-lora-set vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about FLUX.2-klein-9B-lora-set
Is FLUX.2-klein-9B-lora-set free to use?
FLUX.2-klein-9B-lora-set is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use FLUX.2-klein-9B-lora-set commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does FLUX.2-klein-9B-lora-set need?
Approximately 6 GB at Q4 quantisation, or 22 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run FLUX.2-klein-9B-lora-set locally?
Yes. FLUX.2-klein-9B-lora-set is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is FLUX.2-klein-9B-lora-set best at?
FLUX.2-klein-9B-lora-set is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use FLUX.2-klein-9B-lora-set in osFoundry?
Paste your kalle07 API key in the key dialog (or deploy the open weights for self-hostable models), assign FLUX.2-klein-9B-lora-set to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kalle07 on March 29, 2026. Source: https://huggingface.co/kalle07/FLUX.2-klein-9B-lora-set