tcod_7b_f2b
Built by kolerk, tcod_7b_f2b is a 2 billion parameter chat model. tcod_7b_f2b is an open-weights chat model with roughly 2 billion parameters.
by kolerk · 2B parameters
Best for
Ways to use tcod_7b_f2b in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kolerk API key. osFoundry discovers tcod_7b_f2b 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
tcod_7b_f2b 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 tcod_7b_f2b
tcod_7b_f2b runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
tcod_7b_f2b vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tcod_7b_f2b
Is tcod_7b_f2b free to use?
tcod_7b_f2b 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 tcod_7b_f2b 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 tcod_7b_f2b need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run tcod_7b_f2b locally?
Yes. tcod_7b_f2b is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tcod_7b_f2b best at?
tcod_7b_f2b is well-suited to text generation.
How do I use tcod_7b_f2b in osFoundry?
Paste your kolerk API key in the key dialog (or deploy the open weights for self-hostable models), assign tcod_7b_f2b to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kolerk on April 28, 2026. Source: https://huggingface.co/kolerk/tcod_7b_f2b