run4_flower_rxn_lora
Built by Epistchemology, run4_flower_rxn_lora is an chat model. run4_flower_rxn_lora is an open-weights chat model.
by Epistchemology
Best for
Ways to use run4_flower_rxn_lora in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Epistchemology API key. osFoundry discovers run4_flower_rxn_lora 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
run4_flower_rxn_lora 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.
run4_flower_rxn_lora vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about run4_flower_rxn_lora
Is run4_flower_rxn_lora free to use?
run4_flower_rxn_lora 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 run4_flower_rxn_lora 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 run4_flower_rxn_lora locally?
Yes. run4_flower_rxn_lora is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is run4_flower_rxn_lora best at?
run4_flower_rxn_lora is well-suited to text generation.
How do I use run4_flower_rxn_lora in osFoundry?
Paste your Epistchemology API key in the key dialog (or deploy the open weights for self-hostable models), assign run4_flower_rxn_lora to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Epistchemology on May 5, 2026. Source: https://huggingface.co/Epistchemology/run4_flower_rxn_lora