upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005
upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 is a embedding model from emarro, released April 29, 2026. upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 is an open-weights embed model.
by emarro
Best for
Ways to use upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your emarro API key. osFoundry discovers upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 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
upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 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.
upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005
Is upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 free to use?
upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 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 upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 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 upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 locally?
Yes. upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 best at?
upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 is well-suited to feature extraction.
How do I use upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 in osFoundry?
Paste your emarro API key in the key dialog (or deploy the open weights for self-hostable models), assign upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by emarro on April 29, 2026. Source: https://huggingface.co/emarro/upload-finebweb_1b_hnet_ext_2tage_hnet_m3t1m4-m3t1-M15-m4-m4_N3_D512-512-512_mlp_fixed_lr-0.0005