llama-3.1-8B-recipe-gen
Released by ND0322 in 2025, llama-3.1-8B-recipe-gen is a 8 billion parameter chat model. llama-3.1-8B-recipe-gen is an open-weights chat model with roughly 8 billion parameters.
by ND0322 · 8B parameters
Best for
Ways to use llama-3.1-8B-recipe-gen in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ND0322 API key. osFoundry discovers llama-3.1-8B-recipe-gen 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-recipe-gen 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.
What hardware can run llama-3.1-8B-recipe-gen
llama-3.1-8B-recipe-gen runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~20 GB).
llama-3.1-8B-recipe-gen 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-recipe-gen
Is llama-3.1-8B-recipe-gen free to use?
llama-3.1-8B-recipe-gen 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-recipe-gen commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does llama-3.1-8B-recipe-gen need?
Approximately 5 GB at Q4 quantisation, or 20 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run llama-3.1-8B-recipe-gen locally?
Yes. llama-3.1-8B-recipe-gen 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-recipe-gen best at?
llama-3.1-8B-recipe-gen is well-suited to text generation.
How do I use llama-3.1-8B-recipe-gen in osFoundry?
Paste your ND0322 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama-3.1-8B-recipe-gen to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ND0322 on December 8, 2025. Source: https://huggingface.co/ND0322/llama-3.1-8B-recipe-gen