Qwen2.5-Interpreter
Qwen2.5-Interpreter is a chat model from ystemsrx, released November 21, 2024. Qwen2.5-Interpreter is an open-weights chat model.
by ystemsrx
Best for
Ways to use Qwen2.5-Interpreter in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ystemsrx API key. osFoundry discovers Qwen2.5-Interpreter 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-Interpreter 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.
Qwen2.5-Interpreter 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-Interpreter
Is Qwen2.5-Interpreter free to use?
Qwen2.5-Interpreter 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-Interpreter commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run Qwen2.5-Interpreter locally?
Yes. Qwen2.5-Interpreter is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Qwen2.5-Interpreter best at?
Qwen2.5-Interpreter is well-suited to text generation.
How do I use Qwen2.5-Interpreter in osFoundry?
Paste your ystemsrx API key in the key dialog (or deploy the open weights for self-hostable models), assign Qwen2.5-Interpreter to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ystemsrx on November 21, 2024. Source: https://huggingface.co/ystemsrx/Qwen2.5-Interpreter