opensearch-neural-sparse-encoding-v2-distill
Released by opensearch-project in 2024, opensearch-neural-sparse-encoding-v2-distill is an embedding model. opensearch-neural-sparse-encoding-v2-distill is an open-weights embed model.
by opensearch-project
Best for
Ways to use opensearch-neural-sparse-encoding-v2-distill in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your opensearch-project API key. osFoundry discovers opensearch-neural-sparse-encoding-v2-distill 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
opensearch-neural-sparse-encoding-v2-distill 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.
opensearch-neural-sparse-encoding-v2-distill vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| opensearch-neural-sparse-encoding-v2-distill | opensearch-project | — | — | Free (local) | Yes |
| vram-8 | unslothai | — | — | Free (local) | Yes |
| multi-qa-distilbert-dot-v1 | sentence-transformers | — | — | Free (local) | Yes |
| Splade_PP_en_v1 | Qdrant | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about opensearch-neural-sparse-encoding-v2-distill
Is opensearch-neural-sparse-encoding-v2-distill free to use?
opensearch-neural-sparse-encoding-v2-distill 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 opensearch-neural-sparse-encoding-v2-distill 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 opensearch-neural-sparse-encoding-v2-distill locally?
Yes. opensearch-neural-sparse-encoding-v2-distill is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is opensearch-neural-sparse-encoding-v2-distill best at?
opensearch-neural-sparse-encoding-v2-distill is well-suited to feature extraction.
How do I use opensearch-neural-sparse-encoding-v2-distill in osFoundry?
Paste your opensearch-project API key in the key dialog (or deploy the open weights for self-hostable models), assign opensearch-neural-sparse-encoding-v2-distill to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by opensearch-project on July 17, 2024. Source: https://huggingface.co/opensearch-project/opensearch-neural-sparse-encoding-v2-distill