amlm_hard_decay
leukas's amlm_hard_decay is a chat model. amlm_hard_decay is an open-weights chat model.
by leukas
Best for
Ways to use amlm_hard_decay in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your leukas API key. osFoundry discovers amlm_hard_decay 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
amlm_hard_decay 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.
amlm_hard_decay vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about amlm_hard_decay
Is amlm_hard_decay free to use?
amlm_hard_decay 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 amlm_hard_decay 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 amlm_hard_decay locally?
Yes. amlm_hard_decay is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is amlm_hard_decay best at?
amlm_hard_decay is well-suited to fill mask.
How do I use amlm_hard_decay in osFoundry?
Paste your leukas API key in the key dialog (or deploy the open weights for self-hostable models), assign amlm_hard_decay to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by leukas on August 14, 2025. Source: https://huggingface.co/leukas/amlm_hard_decay