swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100
hamishivi's swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 is a chat model. swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 is an open-weights chat model.
by hamishivi
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your hamishivi API key. osFoundry discovers swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 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
swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 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.
swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100
Is swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 free to use?
swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 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 swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 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 swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 locally?
Yes. swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 best at?
swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 in osFoundry?
Paste your hamishivi API key in the key dialog (or deploy the open weights for self-hostable models), assign swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by hamishivi on April 20, 2026. Source: https://huggingface.co/hamishivi/swerl_qwen35_9b_base_agent_task_combined_grpo__42__1776554202_step100