ProtoCycle-7B-SFT
ProtoCycle-7B-SFT is a 7 billion parameter chat model from Huggggooo, released April 18, 2026. ProtoCycle-7B-SFT is an open-weights chat model with roughly 7 billion parameters.
by Huggggooo · 7B parameters
Best for
Ways to use ProtoCycle-7B-SFT in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Huggggooo API key. osFoundry discovers ProtoCycle-7B-SFT 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
ProtoCycle-7B-SFT 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 ProtoCycle-7B-SFT
ProtoCycle-7B-SFT 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).
ProtoCycle-7B-SFT vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ProtoCycle-7B-SFT
Is ProtoCycle-7B-SFT free to use?
ProtoCycle-7B-SFT 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 ProtoCycle-7B-SFT 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 ProtoCycle-7B-SFT need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run ProtoCycle-7B-SFT locally?
Yes. ProtoCycle-7B-SFT is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ProtoCycle-7B-SFT best at?
ProtoCycle-7B-SFT is well-suited to text generation.
How do I use ProtoCycle-7B-SFT in osFoundry?
Paste your Huggggooo API key in the key dialog (or deploy the open weights for self-hostable models), assign ProtoCycle-7B-SFT to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Huggggooo on April 18, 2026. Source: https://huggingface.co/Huggggooo/ProtoCycle-7B-SFT