zebra_4MLA12M2_8bt_SFT_8k_combined
amd's zebra_4MLA12M2_8bt_SFT_8k_combined is a chat model. zebra_4MLA12M2_8bt_SFT_8k_combined is an open-weights chat model.
by amd
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use zebra_4MLA12M2_8bt_SFT_8k_combined in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your amd API key. osFoundry discovers zebra_4MLA12M2_8bt_SFT_8k_combined 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
zebra_4MLA12M2_8bt_SFT_8k_combined 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.
zebra_4MLA12M2_8bt_SFT_8k_combined vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| zebra_4MLA12M2_8bt_SFT_8k_combined | amd | — | — | Free (local) | Yes |
| 456b5ee5 | miolg | — | — | Free (local) | Yes |
| TAMA-vA-GGUF | mradermacher | — | — | Free (local) | Yes |
| FinBERT1-base | valuesimplex-ai-lab | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about zebra_4MLA12M2_8bt_SFT_8k_combined
Is zebra_4MLA12M2_8bt_SFT_8k_combined free to use?
zebra_4MLA12M2_8bt_SFT_8k_combined 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 zebra_4MLA12M2_8bt_SFT_8k_combined 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 zebra_4MLA12M2_8bt_SFT_8k_combined locally?
Yes. zebra_4MLA12M2_8bt_SFT_8k_combined is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is zebra_4MLA12M2_8bt_SFT_8k_combined best at?
zebra_4MLA12M2_8bt_SFT_8k_combined is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use zebra_4MLA12M2_8bt_SFT_8k_combined in osFoundry?
Paste your amd API key in the key dialog (or deploy the open weights for self-hostable models), assign zebra_4MLA12M2_8bt_SFT_8k_combined to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by amd on August 28, 2025. Source: https://huggingface.co/amd/zebra_4MLA12M2_8bt_SFT_8k_combined