Aitana-7B-S-base-1.0
Aitana-7B-S-base-1.0 is a 7 billion parameter chat model from gplsi, released April 7, 2026. Aitana-7B-S-base-1.0 is an open-weights chat model with roughly 7 billion parameters.
by gplsi · 7B parameters
Best for
Ways to use Aitana-7B-S-base-1.0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your gplsi API key. osFoundry discovers Aitana-7B-S-base-1.0 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
Aitana-7B-S-base-1.0 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 Aitana-7B-S-base-1.0
Aitana-7B-S-base-1.0 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).
Aitana-7B-S-base-1.0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Aitana-7B-S-base-1.0
Is Aitana-7B-S-base-1.0 free to use?
Aitana-7B-S-base-1.0 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 Aitana-7B-S-base-1.0 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 Aitana-7B-S-base-1.0 need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Aitana-7B-S-base-1.0 locally?
Yes. Aitana-7B-S-base-1.0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Aitana-7B-S-base-1.0 best at?
Aitana-7B-S-base-1.0 is well-suited to text generation.
How do I use Aitana-7B-S-base-1.0 in osFoundry?
Paste your gplsi API key in the key dialog (or deploy the open weights for self-hostable models), assign Aitana-7B-S-base-1.0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by gplsi on April 7, 2026. Source: https://huggingface.co/gplsi/Aitana-7B-S-base-1.0