LLaVA-Video-72B-Qwen2
Built by lmms-lab, LLaVA-Video-72B-Qwen2 is a 72 billion parameter chat model. LLaVA-Video-72B-Qwen2 is an open-weights chat model with roughly 72 billion parameters.
by lmms-lab · 72B parameters
Best for
Ways to use LLaVA-Video-72B-Qwen2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lmms-lab API key. osFoundry discovers LLaVA-Video-72B-Qwen2 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
LLaVA-Video-72B-Qwen2 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 LLaVA-Video-72B-Qwen2
LLaVA-Video-72B-Qwen2 runs on a single A100 80GB or H100 80GB at Q4 quantisation (~44 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~173 GB).
LLaVA-Video-72B-Qwen2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LLaVA-Video-72B-Qwen2
Is LLaVA-Video-72B-Qwen2 free to use?
LLaVA-Video-72B-Qwen2 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 LLaVA-Video-72B-Qwen2 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 LLaVA-Video-72B-Qwen2 need?
Approximately 44 GB at Q4 quantisation, or 173 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run LLaVA-Video-72B-Qwen2 locally?
Yes. LLaVA-Video-72B-Qwen2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LLaVA-Video-72B-Qwen2 best at?
LLaVA-Video-72B-Qwen2 is well-suited to text generation.
How do I use LLaVA-Video-72B-Qwen2 in osFoundry?
Paste your lmms-lab API key in the key dialog (or deploy the open weights for self-hostable models), assign LLaVA-Video-72B-Qwen2 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lmms-lab on September 2, 2024. Source: https://huggingface.co/lmms-lab/LLaVA-Video-72B-Qwen2