LCARS_AI_QstaR_Nemo_GGUF
Built by LeroyDyer, LCARS_AI_QstaR_Nemo_GGUF is an chat model. LCARS_AI_QstaR_Nemo_GGUF is an open-weights chat model.
by LeroyDyer
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use LCARS_AI_QstaR_Nemo_GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LeroyDyer API key. osFoundry discovers LCARS_AI_QstaR_Nemo_GGUF 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
LCARS_AI_QstaR_Nemo_GGUF 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.
LCARS_AI_QstaR_Nemo_GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LCARS_AI_QstaR_Nemo_GGUF
Is LCARS_AI_QstaR_Nemo_GGUF free to use?
LCARS_AI_QstaR_Nemo_GGUF 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 LCARS_AI_QstaR_Nemo_GGUF 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 LCARS_AI_QstaR_Nemo_GGUF locally?
Yes. LCARS_AI_QstaR_Nemo_GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LCARS_AI_QstaR_Nemo_GGUF best at?
LCARS_AI_QstaR_Nemo_GGUF is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use LCARS_AI_QstaR_Nemo_GGUF in osFoundry?
Paste your LeroyDyer API key in the key dialog (or deploy the open weights for self-hostable models), assign LCARS_AI_QstaR_Nemo_GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LeroyDyer on July 21, 2024. Source: https://huggingface.co/LeroyDyer/LCARS_AI_QstaR_Nemo_GGUF