MegaBeam-Mistral-7B-512k
Built by aws-prototyping, MegaBeam-Mistral-7B-512k is a 7 billion parameter chat model. MegaBeam-Mistral-7B-512k is an open-weights chat model with roughly 7 billion parameters.
by aws-prototyping · 7B parameters
Best for
Ways to use MegaBeam-Mistral-7B-512k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your aws-prototyping API key. osFoundry discovers MegaBeam-Mistral-7B-512k 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
MegaBeam-Mistral-7B-512k 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 MegaBeam-Mistral-7B-512k
MegaBeam-Mistral-7B-512k 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 (~17 GB).
MegaBeam-Mistral-7B-512k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MegaBeam-Mistral-7B-512k
Is MegaBeam-Mistral-7B-512k free to use?
MegaBeam-Mistral-7B-512k 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 MegaBeam-Mistral-7B-512k 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 MegaBeam-Mistral-7B-512k need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run MegaBeam-Mistral-7B-512k locally?
Yes. MegaBeam-Mistral-7B-512k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MegaBeam-Mistral-7B-512k best at?
MegaBeam-Mistral-7B-512k is well-suited to text generation.
How do I use MegaBeam-Mistral-7B-512k in osFoundry?
Paste your aws-prototyping API key in the key dialog (or deploy the open weights for self-hostable models), assign MegaBeam-Mistral-7B-512k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by aws-prototyping on July 30, 2024. Source: https://huggingface.co/aws-prototyping/MegaBeam-Mistral-7B-512k