30B-Lazarus
30B-Lazarus is a 30 billion parameter chat model from CalderaAI, released May 25, 2023. 30B-Lazarus is an open-weights chat model with roughly 30 billion parameters.
by CalderaAI · 30B parameters
Best for
Ways to use 30B-Lazarus in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your CalderaAI API key. osFoundry discovers 30B-Lazarus 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
30B-Lazarus 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 30B-Lazarus
30B-Lazarus runs on a 24GB consumer or workstation GPU (~18 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~72 GB).
30B-Lazarus vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about 30B-Lazarus
Is 30B-Lazarus free to use?
30B-Lazarus 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 30B-Lazarus 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 30B-Lazarus need?
Approximately 18 GB at Q4 quantisation, or 72 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run 30B-Lazarus locally?
Yes. 30B-Lazarus is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is 30B-Lazarus best at?
30B-Lazarus is well-suited to text generation.
How do I use 30B-Lazarus in osFoundry?
Paste your CalderaAI API key in the key dialog (or deploy the open weights for self-hostable models), assign 30B-Lazarus to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by CalderaAI on May 25, 2023. Source: https://huggingface.co/CalderaAI/30B-Lazarus