Mixtral_7Bx2_MoE
Built by cloudyu, Mixtral_7Bx2_MoE is an chat model. Mixtral_7Bx2_MoE is an open-weights chat model.
by cloudyu
Best for
Ways to use Mixtral_7Bx2_MoE in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your cloudyu API key. osFoundry discovers Mixtral_7Bx2_MoE 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
Mixtral_7Bx2_MoE 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.
Mixtral_7Bx2_MoE vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Mixtral_7Bx2_MoE
Is Mixtral_7Bx2_MoE free to use?
Mixtral_7Bx2_MoE 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 Mixtral_7Bx2_MoE commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run Mixtral_7Bx2_MoE locally?
Yes. Mixtral_7Bx2_MoE is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Mixtral_7Bx2_MoE best at?
Mixtral_7Bx2_MoE is well-suited to text generation.
How do I use Mixtral_7Bx2_MoE in osFoundry?
Paste your cloudyu API key in the key dialog (or deploy the open weights for self-hostable models), assign Mixtral_7Bx2_MoE to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by cloudyu on December 22, 2023. Source: https://huggingface.co/cloudyu/Mixtral_7Bx2_MoE