F2LLM-v2-330M
Released by codefuse-ai in 2026, F2LLM-v2-330M is an embedding model. F2LLM-v2-330M is an open-weights embed model.
by codefuse-ai
Best for
Ways to use F2LLM-v2-330M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your codefuse-ai API key. osFoundry discovers F2LLM-v2-330M 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
F2LLM-v2-330M 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.
F2LLM-v2-330M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about F2LLM-v2-330M
Is F2LLM-v2-330M free to use?
F2LLM-v2-330M 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 F2LLM-v2-330M 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 F2LLM-v2-330M locally?
Yes. F2LLM-v2-330M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is F2LLM-v2-330M best at?
F2LLM-v2-330M is well-suited to feature extraction.
How do I use F2LLM-v2-330M in osFoundry?
Paste your codefuse-ai API key in the key dialog (or deploy the open weights for self-hostable models), assign F2LLM-v2-330M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by codefuse-ai on March 9, 2026. Source: https://huggingface.co/codefuse-ai/F2LLM-v2-330M