biinduct-1b-baseline
Released by MohammedSabry in 2026, biinduct-1b-baseline is a 1 billion parameter chat model. biinduct-1b-baseline is an open-weights chat model with roughly 1 billion parameters.
by MohammedSabry · 1B parameters
Best for
Ways to use biinduct-1b-baseline in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MohammedSabry API key. osFoundry discovers biinduct-1b-baseline 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
biinduct-1b-baseline 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 biinduct-1b-baseline
biinduct-1b-baseline runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
biinduct-1b-baseline vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about biinduct-1b-baseline
Is biinduct-1b-baseline free to use?
biinduct-1b-baseline 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 biinduct-1b-baseline 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 biinduct-1b-baseline need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run biinduct-1b-baseline locally?
Yes. biinduct-1b-baseline is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is biinduct-1b-baseline best at?
biinduct-1b-baseline is well-suited to text generation.
How do I use biinduct-1b-baseline in osFoundry?
Paste your MohammedSabry API key in the key dialog (or deploy the open weights for self-hostable models), assign biinduct-1b-baseline to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MohammedSabry on April 15, 2026. Source: https://huggingface.co/MohammedSabry/biinduct-1b-baseline