bitnet_b1_58-large-TQ2_0
bitnet_b1_58-large-TQ2_0 (gianni-cor, 2026) is an chat model. bitnet_b1_58-large-TQ2_0 is an open-weights chat model.
by gianni-cor
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use bitnet_b1_58-large-TQ2_0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your gianni-cor API key. osFoundry discovers bitnet_b1_58-large-TQ2_0 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
bitnet_b1_58-large-TQ2_0 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.
bitnet_b1_58-large-TQ2_0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bitnet_b1_58-large-TQ2_0
Is bitnet_b1_58-large-TQ2_0 free to use?
bitnet_b1_58-large-TQ2_0 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 bitnet_b1_58-large-TQ2_0 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 bitnet_b1_58-large-TQ2_0 locally?
Yes. bitnet_b1_58-large-TQ2_0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bitnet_b1_58-large-TQ2_0 best at?
bitnet_b1_58-large-TQ2_0 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use bitnet_b1_58-large-TQ2_0 in osFoundry?
Paste your gianni-cor API key in the key dialog (or deploy the open weights for self-hostable models), assign bitnet_b1_58-large-TQ2_0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by gianni-cor on February 17, 2026. Source: https://huggingface.co/gianni-cor/bitnet_b1_58-large-TQ2_0