multimodal_atlas_d2d2d8_small_r1024_008
Released by YalaLab in 2025, multimodal_atlas_d2d2d8_small_r1024_008 is an chat model. multimodal_atlas_d2d2d8_small_r1024_008 is an open-weights chat model.
by YalaLab
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use multimodal_atlas_d2d2d8_small_r1024_008 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your YalaLab API key. osFoundry discovers multimodal_atlas_d2d2d8_small_r1024_008 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
multimodal_atlas_d2d2d8_small_r1024_008 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.
multimodal_atlas_d2d2d8_small_r1024_008 vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| multimodal_atlas_d2d2d8_small_r1024_008 | YalaLab | — | — | Free (local) | Yes |
| speech-separation-ami-1.0 | pyannote | — | — | Free (local) | Yes |
| Jamba-v0.1 | ai21labs | — | — | Free (local) | Yes |
| sample1 | ko-yoshida | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about multimodal_atlas_d2d2d8_small_r1024_008
Is multimodal_atlas_d2d2d8_small_r1024_008 free to use?
multimodal_atlas_d2d2d8_small_r1024_008 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 multimodal_atlas_d2d2d8_small_r1024_008 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 multimodal_atlas_d2d2d8_small_r1024_008 locally?
Yes. multimodal_atlas_d2d2d8_small_r1024_008 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is multimodal_atlas_d2d2d8_small_r1024_008 best at?
multimodal_atlas_d2d2d8_small_r1024_008 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use multimodal_atlas_d2d2d8_small_r1024_008 in osFoundry?
Paste your YalaLab API key in the key dialog (or deploy the open weights for self-hostable models), assign multimodal_atlas_d2d2d8_small_r1024_008 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by YalaLab on July 16, 2025. Source: https://huggingface.co/YalaLab/multimodal_atlas_d2d2d8_small_r1024_008