DAPO_E2H-math-gaussian_0p5_0p5
divelab's DAPO_E2H-math-gaussian_0p5_0p5 is a chat model. DAPO_E2H-math-gaussian_0p5_0p5 is an open-weights chat model.
by divelab
Best for
Ways to use DAPO_E2H-math-gaussian_0p5_0p5 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your divelab API key. osFoundry discovers DAPO_E2H-math-gaussian_0p5_0p5 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
DAPO_E2H-math-gaussian_0p5_0p5 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.
DAPO_E2H-math-gaussian_0p5_0p5 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DAPO_E2H-math-gaussian_0p5_0p5
Is DAPO_E2H-math-gaussian_0p5_0p5 free to use?
DAPO_E2H-math-gaussian_0p5_0p5 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 DAPO_E2H-math-gaussian_0p5_0p5 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 DAPO_E2H-math-gaussian_0p5_0p5 locally?
Yes. DAPO_E2H-math-gaussian_0p5_0p5 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DAPO_E2H-math-gaussian_0p5_0p5 best at?
DAPO_E2H-math-gaussian_0p5_0p5 is well-suited to text generation.
How do I use DAPO_E2H-math-gaussian_0p5_0p5 in osFoundry?
Paste your divelab API key in the key dialog (or deploy the open weights for self-hostable models), assign DAPO_E2H-math-gaussian_0p5_0p5 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by divelab on April 19, 2026. Source: https://huggingface.co/divelab/DAPO_E2H-math-gaussian_0p5_0p5