redditguard-qwen-gguf-int4
Built by Ratnesh777, redditguard-qwen-gguf-int4 is an chat model. redditguard-qwen-gguf-int4 is an open-weights chat model.
by Ratnesh777
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use redditguard-qwen-gguf-int4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Ratnesh777 API key. osFoundry discovers redditguard-qwen-gguf-int4 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
redditguard-qwen-gguf-int4 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.
redditguard-qwen-gguf-int4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about redditguard-qwen-gguf-int4
Is redditguard-qwen-gguf-int4 free to use?
redditguard-qwen-gguf-int4 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 redditguard-qwen-gguf-int4 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 redditguard-qwen-gguf-int4 locally?
Yes. redditguard-qwen-gguf-int4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is redditguard-qwen-gguf-int4 best at?
redditguard-qwen-gguf-int4 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use redditguard-qwen-gguf-int4 in osFoundry?
Paste your Ratnesh777 API key in the key dialog (or deploy the open weights for self-hostable models), assign redditguard-qwen-gguf-int4 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Ratnesh777 on May 11, 2026. Source: https://huggingface.co/Ratnesh777/redditguard-qwen-gguf-int4