radagent-qwen3-14b-lora
radagent-qwen3-14b-lora is a 14 billion parameter chat model from RadAgent, released April 13, 2026. radagent-qwen3-14b-lora is an open-weights chat model with roughly 14 billion parameters.
by RadAgent · 14B parameters
Best for
Ways to use radagent-qwen3-14b-lora in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your RadAgent API key. osFoundry discovers radagent-qwen3-14b-lora 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
radagent-qwen3-14b-lora 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 radagent-qwen3-14b-lora
radagent-qwen3-14b-lora runs on a single 16GB consumer GPU (~9 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~34 GB).
radagent-qwen3-14b-lora vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about radagent-qwen3-14b-lora
Is radagent-qwen3-14b-lora free to use?
radagent-qwen3-14b-lora 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 radagent-qwen3-14b-lora 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 radagent-qwen3-14b-lora need?
Approximately 9 GB at Q4 quantisation, or 34 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run radagent-qwen3-14b-lora locally?
Yes. radagent-qwen3-14b-lora is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is radagent-qwen3-14b-lora best at?
radagent-qwen3-14b-lora is well-suited to text generation.
How do I use radagent-qwen3-14b-lora in osFoundry?
Paste your RadAgent API key in the key dialog (or deploy the open weights for self-hostable models), assign radagent-qwen3-14b-lora to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by RadAgent on April 13, 2026. Source: https://huggingface.co/RadAgent/radagent-qwen3-14b-lora