Emo_1b14b_130B
allenai's Emo_1b14b_130B packs 130 billion parameters into a chat model. Emo_1b14b_130B is an open-weights chat model with roughly 130 billion parameters.
by allenai · 130B parameters
Best for
Ways to use Emo_1b14b_130B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your allenai API key. osFoundry discovers Emo_1b14b_130B 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
Emo_1b14b_130B 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 Emo_1b14b_130B
Emo_1b14b_130B runs on a single A100 80GB or H100 80GB at Q4 quantisation (~78 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~312 GB).
Emo_1b14b_130B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Emo_1b14b_130B
Is Emo_1b14b_130B free to use?
Emo_1b14b_130B 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 Emo_1b14b_130B 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 Emo_1b14b_130B need?
Approximately 78 GB at Q4 quantisation, or 312 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run Emo_1b14b_130B locally?
Yes. Emo_1b14b_130B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Emo_1b14b_130B best at?
Emo_1b14b_130B is well-suited to text generation.
How do I use Emo_1b14b_130B in osFoundry?
Paste your allenai API key in the key dialog (or deploy the open weights for self-hostable models), assign Emo_1b14b_130B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by allenai on April 29, 2026. Source: https://huggingface.co/allenai/Emo_1b14b_130B