Seed-OSS-36B-Instruct
Seed-OSS-36B-Instruct (russhar, 2026) is a 36 billion parameter chat model. Seed-OSS-36B-Instruct is an open-weights chat model with roughly 36 billion parameters.
by russhar · 36B parameters
Best for
Ways to use Seed-OSS-36B-Instruct in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your russhar API key. osFoundry discovers Seed-OSS-36B-Instruct 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
Seed-OSS-36B-Instruct 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 Seed-OSS-36B-Instruct
Seed-OSS-36B-Instruct runs on a 24GB consumer or workstation GPU (~22 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~87 GB).
Seed-OSS-36B-Instruct vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Seed-OSS-36B-Instruct
Is Seed-OSS-36B-Instruct free to use?
Seed-OSS-36B-Instruct 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 Seed-OSS-36B-Instruct 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 Seed-OSS-36B-Instruct need?
Approximately 22 GB at Q4 quantisation, or 87 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Seed-OSS-36B-Instruct locally?
Yes. Seed-OSS-36B-Instruct is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Seed-OSS-36B-Instruct best at?
Seed-OSS-36B-Instruct is well-suited to text generation.
How do I use Seed-OSS-36B-Instruct in osFoundry?
Paste your russhar API key in the key dialog (or deploy the open weights for self-hostable models), assign Seed-OSS-36B-Instruct to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by russhar on April 15, 2026. Source: https://huggingface.co/russhar/Seed-OSS-36B-Instruct