opentrackvla-qwen06b
Built by omlab, opentrackvla-qwen06b is a 6 billion parameter chat model. opentrackvla-qwen06b is an open-weights chat model with roughly 6 billion parameters.
by omlab · 6B parameters
Best for
Ways to use opentrackvla-qwen06b in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your omlab API key. osFoundry discovers opentrackvla-qwen06b 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
opentrackvla-qwen06b 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 opentrackvla-qwen06b
opentrackvla-qwen06b runs on a single 16GB consumer GPU (~4 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~15 GB).
opentrackvla-qwen06b vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about opentrackvla-qwen06b
Is opentrackvla-qwen06b free to use?
opentrackvla-qwen06b 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 opentrackvla-qwen06b 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 opentrackvla-qwen06b need?
Approximately 4 GB at Q4 quantisation, or 15 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run opentrackvla-qwen06b locally?
Yes. opentrackvla-qwen06b is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is opentrackvla-qwen06b best at?
opentrackvla-qwen06b is well-suited to other.
How do I use opentrackvla-qwen06b in osFoundry?
Paste your omlab API key in the key dialog (or deploy the open weights for self-hostable models), assign opentrackvla-qwen06b to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by omlab on December 8, 2025. Source: https://huggingface.co/omlab/opentrackvla-qwen06b