qwn3gdt364b-ins1
Released by Tristepin in 2025, qwn3gdt364b-ins1 is a 364 billion parameter chat model. qwn3gdt364b-ins1 is an open-weights chat model with roughly 364 billion parameters.
by Tristepin · 364B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use qwn3gdt364b-ins1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Tristepin API key. osFoundry discovers qwn3gdt364b-ins1 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
qwn3gdt364b-ins1 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 qwn3gdt364b-ins1
qwn3gdt364b-ins1 runs on a multi-GPU setup or H200 141GB at Q4 (~219 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~874 GB).
qwn3gdt364b-ins1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwn3gdt364b-ins1
Is qwn3gdt364b-ins1 free to use?
qwn3gdt364b-ins1 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 qwn3gdt364b-ins1 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 qwn3gdt364b-ins1 need?
Approximately 219 GB at Q4 quantisation, or 874 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run qwn3gdt364b-ins1 locally?
Yes. qwn3gdt364b-ins1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwn3gdt364b-ins1 best at?
qwn3gdt364b-ins1 is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use qwn3gdt364b-ins1 in osFoundry?
Paste your Tristepin API key in the key dialog (or deploy the open weights for self-hostable models), assign qwn3gdt364b-ins1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Tristepin on December 31, 2025. Source: https://huggingface.co/Tristepin/qwn3gdt364b-ins1