llama_fm_2k
Built by stefra, llama_fm_2k is an chat model. llama_fm_2k is an open-weights chat model.
by stefra
Best for
Ways to use llama_fm_2k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your stefra API key. osFoundry discovers llama_fm_2k 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_fm_2k 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_fm_2k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama_fm_2k
Is llama_fm_2k free to use?
llama_fm_2k 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_fm_2k 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_fm_2k locally?
Yes. llama_fm_2k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama_fm_2k best at?
llama_fm_2k is well-suited to text generation.
How do I use llama_fm_2k in osFoundry?
Paste your stefra API key in the key dialog (or deploy the open weights for self-hostable models), assign llama_fm_2k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by stefra on May 6, 2026. Source: https://huggingface.co/stefra/llama_fm_2k