SpatialLM1.1-Qwen-0.5B-Layout-Intmd
Released by ysmao in 2025, SpatialLM1.1-Qwen-0.5B-Layout-Intmd is a 1 billion parameter chat model. SpatialLM1.1-Qwen-0.5B-Layout-Intmd is an open-weights chat model with roughly 1 billion parameters.
by ysmao · 1B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use SpatialLM1.1-Qwen-0.5B-Layout-Intmd in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ysmao API key. osFoundry discovers SpatialLM1.1-Qwen-0.5B-Layout-Intmd 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
SpatialLM1.1-Qwen-0.5B-Layout-Intmd 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.
What hardware can run SpatialLM1.1-Qwen-0.5B-Layout-Intmd
SpatialLM1.1-Qwen-0.5B-Layout-Intmd runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
SpatialLM1.1-Qwen-0.5B-Layout-Intmd vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SpatialLM1.1-Qwen-0.5B-Layout-Intmd
Is SpatialLM1.1-Qwen-0.5B-Layout-Intmd free to use?
SpatialLM1.1-Qwen-0.5B-Layout-Intmd 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 SpatialLM1.1-Qwen-0.5B-Layout-Intmd commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does SpatialLM1.1-Qwen-0.5B-Layout-Intmd need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run SpatialLM1.1-Qwen-0.5B-Layout-Intmd locally?
Yes. SpatialLM1.1-Qwen-0.5B-Layout-Intmd is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SpatialLM1.1-Qwen-0.5B-Layout-Intmd best at?
SpatialLM1.1-Qwen-0.5B-Layout-Intmd is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use SpatialLM1.1-Qwen-0.5B-Layout-Intmd in osFoundry?
Paste your ysmao API key in the key dialog (or deploy the open weights for self-hostable models), assign SpatialLM1.1-Qwen-0.5B-Layout-Intmd to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ysmao on August 27, 2025. Source: https://huggingface.co/ysmao/SpatialLM1.1-Qwen-0.5B-Layout-Intmd