plamo-100b
Released by pfnet in 2024, plamo-100b is a 100 billion parameter chat model. plamo-100b is an open-weights chat model with roughly 100 billion parameters.
by pfnet · 100B parameters
Best for
Ways to use plamo-100b in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pfnet API key. osFoundry discovers plamo-100b 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
plamo-100b 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 plamo-100b
plamo-100b runs on a single A100 80GB or H100 80GB at Q4 quantisation (~60 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~240 GB).
plamo-100b vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about plamo-100b
Is plamo-100b free to use?
plamo-100b 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 plamo-100b 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 plamo-100b need?
Approximately 60 GB at Q4 quantisation, or 240 GB at full FP16 precision. Fits on a single A100/H100 80GB.
Can I run plamo-100b locally?
Yes. plamo-100b is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is plamo-100b best at?
plamo-100b is well-suited to text generation.
How do I use plamo-100b in osFoundry?
Paste your pfnet API key in the key dialog (or deploy the open weights for self-hostable models), assign plamo-100b to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pfnet on September 24, 2024. Source: https://huggingface.co/pfnet/plamo-100b