Baseline-4B-MATH12K
Released by xx18 in 2026, Baseline-4B-MATH12K is a 4 billion parameter chat model. Baseline-4B-MATH12K is an open-weights chat model with roughly 4 billion parameters.
by xx18 · 4B parameters
Best for
Ways to use Baseline-4B-MATH12K in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your xx18 API key. osFoundry discovers Baseline-4B-MATH12K 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
Baseline-4B-MATH12K 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 Baseline-4B-MATH12K
Baseline-4B-MATH12K runs on a single 16GB consumer GPU (~3 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~10 GB).
Baseline-4B-MATH12K vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Baseline-4B-MATH12K
Is Baseline-4B-MATH12K free to use?
Baseline-4B-MATH12K 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 Baseline-4B-MATH12K 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 Baseline-4B-MATH12K need?
Approximately 3 GB at Q4 quantisation, or 10 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Baseline-4B-MATH12K locally?
Yes. Baseline-4B-MATH12K is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Baseline-4B-MATH12K best at?
Baseline-4B-MATH12K is well-suited to text generation.
How do I use Baseline-4B-MATH12K in osFoundry?
Paste your xx18 API key in the key dialog (or deploy the open weights for self-hostable models), assign Baseline-4B-MATH12K to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by xx18 on February 12, 2026. Source: https://huggingface.co/xx18/Baseline-4B-MATH12K