rag_tuned_minilm_mnr_100epoch
rag_tuned_minilm_mnr_100epoch is a embedding model from ronit01, released May 1, 2026. rag_tuned_minilm_mnr_100epoch is an open-weights embed model.
by ronit01
Best for
Ways to use rag_tuned_minilm_mnr_100epoch in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ronit01 API key. osFoundry discovers rag_tuned_minilm_mnr_100epoch 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
rag_tuned_minilm_mnr_100epoch 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.
rag_tuned_minilm_mnr_100epoch vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| rag_tuned_minilm_mnr_100epoch | ronit01 | — | — | Free (local) | Yes |
| MizoEmbed-1 | sarkii | — | — | Free (local) | Yes |
| all-MiniLM-L6-v2 | ferrotorch | — | — | Free (local) | Yes |
| e5-small | Xenova | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about rag_tuned_minilm_mnr_100epoch
Is rag_tuned_minilm_mnr_100epoch free to use?
rag_tuned_minilm_mnr_100epoch 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 rag_tuned_minilm_mnr_100epoch 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 rag_tuned_minilm_mnr_100epoch locally?
Yes. rag_tuned_minilm_mnr_100epoch is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is rag_tuned_minilm_mnr_100epoch best at?
rag_tuned_minilm_mnr_100epoch is well-suited to sentence similarity.
How do I use rag_tuned_minilm_mnr_100epoch in osFoundry?
Paste your ronit01 API key in the key dialog (or deploy the open weights for self-hostable models), assign rag_tuned_minilm_mnr_100epoch to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ronit01 on May 1, 2026. Source: https://huggingface.co/ronit01/rag_tuned_minilm_mnr_100epoch