Llama_3.1_8B_Instruct_grpo_base_step580
Built by parkjo, Llama_3.1_8B_Instruct_grpo_base_step580 is an chat model. Llama_3.1_8B_Instruct_grpo_base_step580 is an open-weights chat model.
by parkjo
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Llama_3.1_8B_Instruct_grpo_base_step580 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your parkjo API key. osFoundry discovers Llama_3.1_8B_Instruct_grpo_base_step580 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
Llama_3.1_8B_Instruct_grpo_base_step580 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.
Llama_3.1_8B_Instruct_grpo_base_step580 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Llama_3.1_8B_Instruct_grpo_base_step580
Is Llama_3.1_8B_Instruct_grpo_base_step580 free to use?
Llama_3.1_8B_Instruct_grpo_base_step580 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 Llama_3.1_8B_Instruct_grpo_base_step580 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 Llama_3.1_8B_Instruct_grpo_base_step580 locally?
Yes. Llama_3.1_8B_Instruct_grpo_base_step580 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Llama_3.1_8B_Instruct_grpo_base_step580 best at?
Llama_3.1_8B_Instruct_grpo_base_step580 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Llama_3.1_8B_Instruct_grpo_base_step580 in osFoundry?
Paste your parkjo API key in the key dialog (or deploy the open weights for self-hostable models), assign Llama_3.1_8B_Instruct_grpo_base_step580 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by parkjo on April 26, 2026. Source: https://huggingface.co/parkjo/Llama_3.1_8B_Instruct_grpo_base_step580