OpenGVLab_InternVL3_5-38B-GGUF
Released by bartowski in 2025, OpenGVLab_InternVL3_5-38B-GGUF is a 38 billion parameter image-generation model. OpenGVLab_InternVL3_5-38B-GGUF is an open-weights image model with roughly 38 billion parameters.
by bartowski · 38B parameters
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Ways to use OpenGVLab_InternVL3_5-38B-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bartowski API key. osFoundry discovers OpenGVLab_InternVL3_5-38B-GGUF 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
OpenGVLab_InternVL3_5-38B-GGUF 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 OpenGVLab_InternVL3_5-38B-GGUF
OpenGVLab_InternVL3_5-38B-GGUF runs on a 24GB consumer or workstation GPU (~23 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~92 GB).
OpenGVLab_InternVL3_5-38B-GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about OpenGVLab_InternVL3_5-38B-GGUF
Is OpenGVLab_InternVL3_5-38B-GGUF free to use?
OpenGVLab_InternVL3_5-38B-GGUF 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 OpenGVLab_InternVL3_5-38B-GGUF 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 OpenGVLab_InternVL3_5-38B-GGUF need?
Approximately 23 GB at Q4 quantisation, or 92 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run OpenGVLab_InternVL3_5-38B-GGUF locally?
Yes. OpenGVLab_InternVL3_5-38B-GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is OpenGVLab_InternVL3_5-38B-GGUF best at?
OpenGVLab_InternVL3_5-38B-GGUF is well-suited to image text to text.
How do I use OpenGVLab_InternVL3_5-38B-GGUF in osFoundry?
Paste your bartowski API key in the key dialog (or deploy the open weights for self-hostable models), assign OpenGVLab_InternVL3_5-38B-GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bartowski on August 26, 2025. Source: https://huggingface.co/bartowski/OpenGVLab_InternVL3_5-38B-GGUF