qwen2_vl_7b_COT_grpo_800
Built by Kaylee0501, qwen2_vl_7b_COT_grpo_800 is an chat model. qwen2_vl_7b_COT_grpo_800 is an open-weights chat model.
by Kaylee0501
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use qwen2_vl_7b_COT_grpo_800 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Kaylee0501 API key. osFoundry discovers qwen2_vl_7b_COT_grpo_800 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
qwen2_vl_7b_COT_grpo_800 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.
qwen2_vl_7b_COT_grpo_800 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about qwen2_vl_7b_COT_grpo_800
Is qwen2_vl_7b_COT_grpo_800 free to use?
qwen2_vl_7b_COT_grpo_800 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 qwen2_vl_7b_COT_grpo_800 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 qwen2_vl_7b_COT_grpo_800 locally?
Yes. qwen2_vl_7b_COT_grpo_800 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is qwen2_vl_7b_COT_grpo_800 best at?
qwen2_vl_7b_COT_grpo_800 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use qwen2_vl_7b_COT_grpo_800 in osFoundry?
Paste your Kaylee0501 API key in the key dialog (or deploy the open weights for self-hostable models), assign qwen2_vl_7b_COT_grpo_800 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Kaylee0501 on May 6, 2026. Source: https://huggingface.co/Kaylee0501/qwen2_vl_7b_COT_grpo_800