Qwen-0.5B-Coder-El-Terminalo
Released by albinab in 2026, Qwen-0.5B-Coder-El-Terminalo is a 1 billion parameter chat model. Qwen-0.5B-Coder-El-Terminalo is an open-weights chat model with roughly 1 billion parameters.
by albinab · 1B parameters
Best for
Ways to use Qwen-0.5B-Coder-El-Terminalo in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your albinab API key. osFoundry discovers Qwen-0.5B-Coder-El-Terminalo 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
Qwen-0.5B-Coder-El-Terminalo 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 Qwen-0.5B-Coder-El-Terminalo
Qwen-0.5B-Coder-El-Terminalo 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).
Qwen-0.5B-Coder-El-Terminalo vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Qwen-0.5B-Coder-El-Terminalo
Is Qwen-0.5B-Coder-El-Terminalo free to use?
Qwen-0.5B-Coder-El-Terminalo 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 Qwen-0.5B-Coder-El-Terminalo 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 Qwen-0.5B-Coder-El-Terminalo need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Qwen-0.5B-Coder-El-Terminalo locally?
Yes. Qwen-0.5B-Coder-El-Terminalo is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen-0.5B-Coder-El-Terminalo best at?
Qwen-0.5B-Coder-El-Terminalo is well-suited to text generation.
How do I use Qwen-0.5B-Coder-El-Terminalo in osFoundry?
Paste your albinab API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen-0.5B-Coder-El-Terminalo to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by albinab on March 26, 2026. Source: https://huggingface.co/albinab/Qwen-0.5B-Coder-El-Terminalo