ft_4_5e6_base_x1
Built by damgomz, ft_4_5e6_base_x1 is an chat model. ft_4_5e6_base_x1 is an open-weights chat model.
by damgomz
Best for
Ways to use ft_4_5e6_base_x1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your damgomz API key. osFoundry discovers ft_4_5e6_base_x1 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
ft_4_5e6_base_x1 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.
ft_4_5e6_base_x1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ft_4_5e6_base_x1
Is ft_4_5e6_base_x1 free to use?
ft_4_5e6_base_x1 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 ft_4_5e6_base_x1 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 ft_4_5e6_base_x1 locally?
Yes. ft_4_5e6_base_x1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ft_4_5e6_base_x1 best at?
ft_4_5e6_base_x1 is well-suited to text classification.
How do I use ft_4_5e6_base_x1 in osFoundry?
Paste your damgomz API key in the key dialog (or deploy the open weights for self-hostable models), assign ft_4_5e6_base_x1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by damgomz on May 28, 2024. Source: https://huggingface.co/damgomz/ft_4_5e6_base_x1