Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf
AlexCrypto's Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf packs 1 billion parameters into a chat model. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf is an open-weights chat model with roughly 1 billion parameters.
by AlexCrypto · 1B parameters
Best for
Ways to use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AlexCrypto API key. osFoundry discovers Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf 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-powerful_untamed_wolf 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-powerful_untamed_wolf
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf 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-powerful_untamed_wolf 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-powerful_untamed_wolf
Is Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf free to use?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf 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-powerful_untamed_wolf 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-powerful_untamed_wolf 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-powerful_untamed_wolf locally?
Yes. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf 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-powerful_untamed_wolf best at?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf is well-suited to text generation.
How do I use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf in osFoundry?
Paste your AlexCrypto API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AlexCrypto on June 2, 2025. Source: https://huggingface.co/AlexCrypto/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-powerful_untamed_wolf