DeepSeek-R1-Small-2layers
Released by silence09 in 2025, DeepSeek-R1-Small-2layers is an chat model. DeepSeek-R1-Small-2layers is an open-weights chat model.
by silence09
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use DeepSeek-R1-Small-2layers in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your silence09 API key. osFoundry discovers DeepSeek-R1-Small-2layers 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
DeepSeek-R1-Small-2layers 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.
DeepSeek-R1-Small-2layers vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DeepSeek-R1-Small-2layers
Is DeepSeek-R1-Small-2layers free to use?
DeepSeek-R1-Small-2layers 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 DeepSeek-R1-Small-2layers 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 DeepSeek-R1-Small-2layers locally?
Yes. DeepSeek-R1-Small-2layers is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DeepSeek-R1-Small-2layers best at?
DeepSeek-R1-Small-2layers is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use DeepSeek-R1-Small-2layers in osFoundry?
Paste your silence09 API key in the key dialog (or deploy the open weights for self-hostable models), assign DeepSeek-R1-Small-2layers to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by silence09 on February 7, 2025. Source: https://huggingface.co/silence09/DeepSeek-R1-Small-2layers