db2c9545-4607-487b-9cc3-b7a0587316fc
db2c9545-4607-487b-9cc3-b7a0587316fc is a 487 billion parameter chat model from nhung02, released January 21, 2025. db2c9545-4607-487b-9cc3-b7a0587316fc is an open-weights chat model with roughly 487 billion parameters.
by nhung02 · 487B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use db2c9545-4607-487b-9cc3-b7a0587316fc in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nhung02 API key. osFoundry discovers db2c9545-4607-487b-9cc3-b7a0587316fc 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
db2c9545-4607-487b-9cc3-b7a0587316fc 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 db2c9545-4607-487b-9cc3-b7a0587316fc
db2c9545-4607-487b-9cc3-b7a0587316fc runs on a multi-GPU setup or H200 141GB at Q4 (~293 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~1169 GB).
db2c9545-4607-487b-9cc3-b7a0587316fc vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about db2c9545-4607-487b-9cc3-b7a0587316fc
Is db2c9545-4607-487b-9cc3-b7a0587316fc free to use?
db2c9545-4607-487b-9cc3-b7a0587316fc 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 db2c9545-4607-487b-9cc3-b7a0587316fc 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 db2c9545-4607-487b-9cc3-b7a0587316fc need?
Approximately 293 GB at Q4 quantisation, or 1169 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run db2c9545-4607-487b-9cc3-b7a0587316fc locally?
Yes. db2c9545-4607-487b-9cc3-b7a0587316fc is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is db2c9545-4607-487b-9cc3-b7a0587316fc best at?
db2c9545-4607-487b-9cc3-b7a0587316fc is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use db2c9545-4607-487b-9cc3-b7a0587316fc in osFoundry?
Paste your nhung02 API key in the key dialog (or deploy the open weights for self-hostable models), assign db2c9545-4607-487b-9cc3-b7a0587316fc to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nhung02 on January 21, 2025. Source: https://huggingface.co/nhung02/db2c9545-4607-487b-9cc3-b7a0587316fc