Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish
ORDAv1's Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish packs 1 billion parameters into a chat model. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish is an open-weights chat model with roughly 1 billion parameters.
by ORDAv1 · 1B parameters
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Ways to use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ORDAv1 API key. osFoundry discovers Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish 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
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish 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 Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish
Is Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish free to use?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish 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 Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish 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 Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish locally?
Yes. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish best at?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish is well-suited to text generation.
How do I use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish in osFoundry?
Paste your ORDAv1 API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ORDAv1 on October 7, 2025. Source: https://huggingface.co/ORDAv1/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-thriving_enormous_jellyfish