Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros
Released by dasereb in 2026, Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros is an chat model. Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros is an open-weights chat model.
by dasereb
Best for
Ways to use Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your dasereb API key. osFoundry discovers Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros 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
Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros 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.
Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros
Is Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros free to use?
Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros 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 Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros 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 Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros locally?
Yes. Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros best at?
Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros is well-suited to text generation.
How do I use Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros in osFoundry?
Paste your dasereb API key in the key dialog (or deploy the open weights for self-hostable models), assign Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by dasereb on April 20, 2026. Source: https://huggingface.co/dasereb/Nemo_3_Super_120B_BF16_lora_r4_all_linear_zeros