Flux_Scrape_Loras
Released by MLbackup in 2024, Flux_Scrape_Loras is an chat model. Flux_Scrape_Loras is an open-weights chat model.
by MLbackup
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Flux_Scrape_Loras in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MLbackup API key. osFoundry discovers Flux_Scrape_Loras 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_Scrape_Loras 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.
Flux_Scrape_Loras vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Flux_Scrape_Loras
Is Flux_Scrape_Loras free to use?
Flux_Scrape_Loras 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_Scrape_Loras commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run Flux_Scrape_Loras locally?
Yes. Flux_Scrape_Loras is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Flux_Scrape_Loras best at?
Flux_Scrape_Loras is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Flux_Scrape_Loras in osFoundry?
Paste your MLbackup API key in the key dialog (or deploy the open weights for self-hostable models), assign Flux_Scrape_Loras to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MLbackup on August 28, 2024. Source: https://huggingface.co/MLbackup/Flux_Scrape_Loras