SWE-Lego-Qwen3-4B-posttrain
SWE-Lego-Qwen3-4B-posttrain is a 4 billion parameter chat model from AgPerry, released April 13, 2026. SWE-Lego-Qwen3-4B-posttrain is an open-weights chat model with roughly 4 billion parameters.
by AgPerry · 4B parameters
Best for
Ways to use SWE-Lego-Qwen3-4B-posttrain in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AgPerry API key. osFoundry discovers SWE-Lego-Qwen3-4B-posttrain 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
SWE-Lego-Qwen3-4B-posttrain 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 SWE-Lego-Qwen3-4B-posttrain
SWE-Lego-Qwen3-4B-posttrain runs on a single 16GB consumer GPU (~3 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~10 GB).
SWE-Lego-Qwen3-4B-posttrain vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SWE-Lego-Qwen3-4B-posttrain
Is SWE-Lego-Qwen3-4B-posttrain free to use?
SWE-Lego-Qwen3-4B-posttrain 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 SWE-Lego-Qwen3-4B-posttrain 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 SWE-Lego-Qwen3-4B-posttrain need?
Approximately 3 GB at Q4 quantisation, or 10 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run SWE-Lego-Qwen3-4B-posttrain locally?
Yes. SWE-Lego-Qwen3-4B-posttrain is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SWE-Lego-Qwen3-4B-posttrain best at?
SWE-Lego-Qwen3-4B-posttrain is well-suited to text generation.
How do I use SWE-Lego-Qwen3-4B-posttrain in osFoundry?
Paste your AgPerry API key in the key dialog (or deploy the open weights for self-hostable models), assign SWE-Lego-Qwen3-4B-posttrain to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AgPerry on April 13, 2026. Source: https://huggingface.co/AgPerry/SWE-Lego-Qwen3-4B-posttrain