XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit (sleepy186247, 2026) is a 2026 billion parameter image-generation model. XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit is an open-weights image model with roughly 2026 billion parameters.
by sleepy186247 · 2026B parameters
Best for
Ways to use XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your sleepy186247 API key. osFoundry discovers XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit 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
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit 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 XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit runs on a multi-GPU setup or H200 141GB at Q4 (~1216 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~4863 GB).
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit
Is XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit free to use?
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit 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 XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit 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 XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit need?
Approximately 1216 GB at Q4 quantisation, or 4863 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit locally?
Yes. XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit best at?
XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit is well-suited to image text to text.
How do I use XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit in osFoundry?
Paste your sleepy186247 API key in the key dialog (or deploy the open weights for self-hostable models), assign XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by sleepy186247 on April 21, 2026. Source: https://huggingface.co/sleepy186247/XORTRON.CriminalComputing.2026.27B.Instruct.NEXT-mlx-5Bit