ConfigurableBeagle-11B
ConfigurableBeagle-11B (vicgalle, 2024) is a 11 billion parameter chat model. ConfigurableBeagle-11B is an open-weights chat model with roughly 11 billion parameters.
by vicgalle · 11B parameters
Best for
Ways to use ConfigurableBeagle-11B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your vicgalle API key. osFoundry discovers ConfigurableBeagle-11B 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
ConfigurableBeagle-11B 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 ConfigurableBeagle-11B
ConfigurableBeagle-11B runs on a single 16GB consumer GPU (~7 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~27 GB).
ConfigurableBeagle-11B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ConfigurableBeagle-11B
Is ConfigurableBeagle-11B free to use?
ConfigurableBeagle-11B 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 ConfigurableBeagle-11B 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 ConfigurableBeagle-11B need?
Approximately 7 GB at Q4 quantisation, or 27 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run ConfigurableBeagle-11B locally?
Yes. ConfigurableBeagle-11B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ConfigurableBeagle-11B best at?
ConfigurableBeagle-11B is well-suited to text generation.
How do I use ConfigurableBeagle-11B in osFoundry?
Paste your vicgalle API key in the key dialog (or deploy the open weights for self-hostable models), assign ConfigurableBeagle-11B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by vicgalle on February 17, 2024. Source: https://huggingface.co/vicgalle/ConfigurableBeagle-11B