Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe
gf43hhd's Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe packs 1 billion parameters into a chat model. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe is an open-weights chat model with roughly 1 billion parameters.
by gf43hhd · 1B parameters
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Ways to use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your gf43hhd API key. osFoundry discovers Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe 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-armored_zealous_giraffe 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-armored_zealous_giraffe
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe 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-armored_zealous_giraffe 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-armored_zealous_giraffe
Is Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe free to use?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe 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-armored_zealous_giraffe 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-armored_zealous_giraffe 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-armored_zealous_giraffe locally?
Yes. Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe 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-armored_zealous_giraffe best at?
Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe is well-suited to text generation.
How do I use Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe in osFoundry?
Paste your gf43hhd API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by gf43hhd on April 19, 2025. Source: https://huggingface.co/gf43hhd/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-armored_zealous_giraffe