Lama3.1-8B-EksiSozlukAI
Lama3.1-8B-EksiSozlukAI is a 8 billion parameter chat model from ozertuu, released November 25, 2024. Lama3.1-8B-EksiSozlukAI is an open-weights chat model with roughly 8 billion parameters.
by ozertuu · 8B parameters
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Ways to use Lama3.1-8B-EksiSozlukAI in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ozertuu API key. osFoundry discovers Lama3.1-8B-EksiSozlukAI 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
Lama3.1-8B-EksiSozlukAI 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 Lama3.1-8B-EksiSozlukAI
Lama3.1-8B-EksiSozlukAI 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).
Lama3.1-8B-EksiSozlukAI vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Lama3.1-8B-EksiSozlukAI
Is Lama3.1-8B-EksiSozlukAI free to use?
Lama3.1-8B-EksiSozlukAI 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 Lama3.1-8B-EksiSozlukAI 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 Lama3.1-8B-EksiSozlukAI need?
Approximately 5 GB at Q4 quantisation, or 20 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Lama3.1-8B-EksiSozlukAI locally?
Yes. Lama3.1-8B-EksiSozlukAI is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Lama3.1-8B-EksiSozlukAI best at?
Lama3.1-8B-EksiSozlukAI is well-suited to text generation.
How do I use Lama3.1-8B-EksiSozlukAI in osFoundry?
Paste your ozertuu API key in the key dialog (or deploy the open weights for self-hostable models), assign Lama3.1-8B-EksiSozlukAI to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ozertuu on November 25, 2024. Source: https://huggingface.co/ozertuu/Lama3.1-8B-EksiSozlukAI