smol_bruin-7b
Released by Azazelle in 2023, smol_bruin-7b is a 7 billion parameter chat model. smol_bruin-7b is an open-weights chat model with roughly 7 billion parameters.
by Azazelle · 7B parameters
Best for
Ways to use smol_bruin-7b in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Azazelle API key. osFoundry discovers smol_bruin-7b 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
smol_bruin-7b 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 smol_bruin-7b
smol_bruin-7b runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~17 GB).
smol_bruin-7b vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about smol_bruin-7b
Is smol_bruin-7b free to use?
smol_bruin-7b 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 smol_bruin-7b 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 smol_bruin-7b need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run smol_bruin-7b locally?
Yes. smol_bruin-7b is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is smol_bruin-7b best at?
smol_bruin-7b is well-suited to text generation.
How do I use smol_bruin-7b in osFoundry?
Paste your Azazelle API key in the key dialog (or deploy the open weights for self-hostable models), assign smol_bruin-7b to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Azazelle on December 29, 2023. Source: https://huggingface.co/Azazelle/smol_bruin-7b