Teachers_Exam_LLaMA_8B
Built by shileii, Teachers_Exam_LLaMA_8B is a 8 billion parameter chat model. Teachers_Exam_LLaMA_8B is an open-weights chat model with roughly 8 billion parameters.
by shileii · 8B parameters
Best for
Ways to use Teachers_Exam_LLaMA_8B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your shileii API key. osFoundry discovers Teachers_Exam_LLaMA_8B 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
Teachers_Exam_LLaMA_8B 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 Teachers_Exam_LLaMA_8B
Teachers_Exam_LLaMA_8B 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).
Teachers_Exam_LLaMA_8B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Teachers_Exam_LLaMA_8B
Is Teachers_Exam_LLaMA_8B free to use?
Teachers_Exam_LLaMA_8B 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 Teachers_Exam_LLaMA_8B 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 Teachers_Exam_LLaMA_8B need?
Approximately 5 GB at Q4 quantisation, or 20 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Teachers_Exam_LLaMA_8B locally?
Yes. Teachers_Exam_LLaMA_8B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Teachers_Exam_LLaMA_8B best at?
Teachers_Exam_LLaMA_8B is well-suited to question answering.
How do I use Teachers_Exam_LLaMA_8B in osFoundry?
Paste your shileii API key in the key dialog (or deploy the open weights for self-hostable models), assign Teachers_Exam_LLaMA_8B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by shileii on September 4, 2024. Source: https://huggingface.co/shileii/Teachers_Exam_LLaMA_8B