Qwen3.5-9B-saudi-dialect
Qwen3.5-9B-saudi-dialect (AyoubChLin, 2026) is a 9 billion parameter chat model. Qwen3.5-9B-saudi-dialect is an open-weights chat model with roughly 9 billion parameters.
by AyoubChLin · 9B parameters
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Ways to use Qwen3.5-9B-saudi-dialect in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AyoubChLin API key. osFoundry discovers Qwen3.5-9B-saudi-dialect 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
Qwen3.5-9B-saudi-dialect 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 Qwen3.5-9B-saudi-dialect
Qwen3.5-9B-saudi-dialect runs on a single 16GB consumer GPU (~6 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~22 GB).
Qwen3.5-9B-saudi-dialect vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen3.5-9B-saudi-dialect
Is Qwen3.5-9B-saudi-dialect free to use?
Qwen3.5-9B-saudi-dialect 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 Qwen3.5-9B-saudi-dialect 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 Qwen3.5-9B-saudi-dialect need?
Approximately 6 GB at Q4 quantisation, or 22 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwen3.5-9B-saudi-dialect locally?
Yes. Qwen3.5-9B-saudi-dialect is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen3.5-9B-saudi-dialect best at?
Qwen3.5-9B-saudi-dialect is well-suited to text generation.
How do I use Qwen3.5-9B-saudi-dialect in osFoundry?
Paste your AyoubChLin API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen3.5-9B-saudi-dialect to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AyoubChLin on March 22, 2026. Source: https://huggingface.co/AyoubChLin/Qwen3.5-9B-saudi-dialect