StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3
Built by mengwei0427, StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 is an chat model. StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 is an open-weights chat model.
by mengwei0427
Best for
Ways to use StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mengwei0427 API key. osFoundry discovers StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 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
StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 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.
StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3
Is StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 free to use?
StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 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 StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 locally?
Yes. StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 best at?
StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 is well-suited to text generation.
How do I use StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 in osFoundry?
Paste your mengwei0427 API key in the key dialog (or deploy the open weights for self-hostable models), assign StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mengwei0427 on September 28, 2025. Source: https://huggingface.co/mengwei0427/StreamVLN_Video_qwen_1_5_r2r_rxr_envdrop_scalevln_v1_3