b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb
Released by bilabila in 2026, b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb is an chat model. b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb is an open-weights chat model.
by bilabila
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bilabila API key. osFoundry discovers b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb 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
b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb 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.
b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb
Is b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb free to use?
b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb 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 b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb 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 b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb locally?
Yes. b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb best at?
b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb in osFoundry?
Paste your bilabila API key in the key dialog (or deploy the open weights for self-hostable models), assign b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bilabila on May 4, 2026. Source: https://huggingface.co/bilabila/b-b7_olr_ts10_base_sym5_2025_lossq_mixmid_ms400k_btcfeat_pb