hw3-rl-models
tarmus's hw3-rl-models is a chat model. hw3-rl-models is an open-weights chat model.
by tarmus
Best for
Ways to use hw3-rl-models in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your tarmus API key. osFoundry discovers hw3-rl-models 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
hw3-rl-models 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.
hw3-rl-models vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about hw3-rl-models
Is hw3-rl-models free to use?
hw3-rl-models 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 hw3-rl-models 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 hw3-rl-models locally?
Yes. hw3-rl-models is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is hw3-rl-models best at?
hw3-rl-models is well-suited to reinforcement learning.
How do I use hw3-rl-models in osFoundry?
Paste your tarmus API key in the key dialog (or deploy the open weights for self-hostable models), assign hw3-rl-models to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by tarmus on May 5, 2026. Source: https://huggingface.co/tarmus/hw3-rl-models