DeepSeek-GRM-16B
BBQGOD's DeepSeek-GRM-16B packs 16 billion parameters into a chat model. DeepSeek-GRM-16B is an open-weights chat model with roughly 16 billion parameters.
by BBQGOD · 16B parameters
Best for
Ways to use DeepSeek-GRM-16B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your BBQGOD API key. osFoundry discovers DeepSeek-GRM-16B 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-GRM-16B 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 DeepSeek-GRM-16B
DeepSeek-GRM-16B runs on a single 16GB consumer GPU (~10 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~39 GB).
DeepSeek-GRM-16B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about DeepSeek-GRM-16B
Is DeepSeek-GRM-16B free to use?
DeepSeek-GRM-16B 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-GRM-16B 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 DeepSeek-GRM-16B need?
Approximately 10 GB at Q4 quantisation, or 39 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run DeepSeek-GRM-16B locally?
Yes. DeepSeek-GRM-16B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is DeepSeek-GRM-16B best at?
DeepSeek-GRM-16B is well-suited to text generation.
How do I use DeepSeek-GRM-16B in osFoundry?
Paste your BBQGOD API key in the key dialog (or deploy the open weights for self-hostable models), assign DeepSeek-GRM-16B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by BBQGOD on August 31, 2025. Source: https://huggingface.co/BBQGOD/DeepSeek-GRM-16B