all_miniLM_L6_v2_with_attentions
all_miniLM_L6_v2_with_attentions (Qdrant, 2024) is an embedding model. all_miniLM_L6_v2_with_attentions is an open-weights embed model.
by Qdrant
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Ways to use all_miniLM_L6_v2_with_attentions in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Qdrant API key. osFoundry discovers all_miniLM_L6_v2_with_attentions 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
all_miniLM_L6_v2_with_attentions 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.
all_miniLM_L6_v2_with_attentions vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about all_miniLM_L6_v2_with_attentions
Is all_miniLM_L6_v2_with_attentions free to use?
all_miniLM_L6_v2_with_attentions 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 all_miniLM_L6_v2_with_attentions 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 all_miniLM_L6_v2_with_attentions locally?
Yes. all_miniLM_L6_v2_with_attentions is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is all_miniLM_L6_v2_with_attentions best at?
all_miniLM_L6_v2_with_attentions is well-suited to sentence similarity.
How do I use all_miniLM_L6_v2_with_attentions in osFoundry?
Paste your Qdrant API key in the key dialog (or deploy the open weights for self-hostable models), assign all_miniLM_L6_v2_with_attentions to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Qdrant on May 9, 2024. Source: https://huggingface.co/Qdrant/all_miniLM_L6_v2_with_attentions