Qwen3508B-transcriber-15k-03
Qwen3508B-transcriber-15k-03 (bingbangboom, 2026) is a 3508 billion parameter image-generation model. Qwen3508B-transcriber-15k-03 is an open-weights image model with roughly 3508 billion parameters.
by bingbangboom · 3508B parameters
Best for
Ways to use Qwen3508B-transcriber-15k-03 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bingbangboom API key. osFoundry discovers Qwen3508B-transcriber-15k-03 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
Qwen3508B-transcriber-15k-03 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 Qwen3508B-transcriber-15k-03
Qwen3508B-transcriber-15k-03 runs on a multi-GPU setup or H200 141GB at Q4 (~2105 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~8420 GB).
Qwen3508B-transcriber-15k-03 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen3508B-transcriber-15k-03
Is Qwen3508B-transcriber-15k-03 free to use?
Qwen3508B-transcriber-15k-03 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 Qwen3508B-transcriber-15k-03 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 Qwen3508B-transcriber-15k-03 need?
Approximately 2105 GB at Q4 quantisation, or 8420 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run Qwen3508B-transcriber-15k-03 locally?
Yes. Qwen3508B-transcriber-15k-03 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen3508B-transcriber-15k-03 best at?
Qwen3508B-transcriber-15k-03 is well-suited to image text to text.
How do I use Qwen3508B-transcriber-15k-03 in osFoundry?
Paste your bingbangboom API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen3508B-transcriber-15k-03 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bingbangboom on March 22, 2026. Source: https://huggingface.co/bingbangboom/Qwen3508B-transcriber-15k-03