LLaMA-MoE-v1-3_0B-2_16
LLaMA-MoE-v1-3_0B-2_16 (llama-moe, 2023) is an chat model. LLaMA-MoE-v1-3_0B-2_16 is an open-weights chat model.
by llama-moe
Best for
Ways to use LLaMA-MoE-v1-3_0B-2_16 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your llama-moe API key. osFoundry discovers LLaMA-MoE-v1-3_0B-2_16 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-MoE-v1-3_0B-2_16 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.
LLaMA-MoE-v1-3_0B-2_16 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LLaMA-MoE-v1-3_0B-2_16
Is LLaMA-MoE-v1-3_0B-2_16 free to use?
LLaMA-MoE-v1-3_0B-2_16 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-MoE-v1-3_0B-2_16 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 LLaMA-MoE-v1-3_0B-2_16 locally?
Yes. LLaMA-MoE-v1-3_0B-2_16 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LLaMA-MoE-v1-3_0B-2_16 best at?
LLaMA-MoE-v1-3_0B-2_16 is well-suited to text generation.
How do I use LLaMA-MoE-v1-3_0B-2_16 in osFoundry?
Paste your llama-moe API key in the key dialog (or deploy the open weights for self-hostable models), assign LLaMA-MoE-v1-3_0B-2_16 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by llama-moe on December 23, 2023. Source: https://huggingface.co/llama-moe/LLaMA-MoE-v1-3_0B-2_16