llama-3.1-8B-model3_mapped
Released by AIforAlly in 2026, llama-3.1-8B-model3_mapped is a 8 billion parameter chat model. llama-3.1-8B-model3_mapped is an open-weights chat model with roughly 8 billion parameters.
by AIforAlly · 8B parameters
Best for
Ways to use llama-3.1-8B-model3_mapped in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AIforAlly API key. osFoundry discovers llama-3.1-8B-model3_mapped 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-model3_mapped 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-model3_mapped
llama-3.1-8B-model3_mapped 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-model3_mapped 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-model3_mapped
Is llama-3.1-8B-model3_mapped free to use?
llama-3.1-8B-model3_mapped 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-model3_mapped 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-model3_mapped 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-model3_mapped locally?
Yes. llama-3.1-8B-model3_mapped 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-model3_mapped best at?
llama-3.1-8B-model3_mapped is well-suited to text generation.
How do I use llama-3.1-8B-model3_mapped in osFoundry?
Paste your AIforAlly API key in the key dialog (or deploy the open weights for self-hostable models), assign llama-3.1-8B-model3_mapped to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AIforAlly on April 20, 2026. Source: https://huggingface.co/AIforAlly/llama-3.1-8B-model3_mapped