CodeRankEmbed-onnx-int8
Released by mrsladoje in 2026, CodeRankEmbed-onnx-int8 is an embedding model. CodeRankEmbed-onnx-int8 is an open-weights embed model.
by mrsladoje
Best for
Ways to use CodeRankEmbed-onnx-int8 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mrsladoje API key. osFoundry discovers CodeRankEmbed-onnx-int8 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
CodeRankEmbed-onnx-int8 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.
CodeRankEmbed-onnx-int8 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about CodeRankEmbed-onnx-int8
Is CodeRankEmbed-onnx-int8 free to use?
CodeRankEmbed-onnx-int8 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 CodeRankEmbed-onnx-int8 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 CodeRankEmbed-onnx-int8 locally?
Yes. CodeRankEmbed-onnx-int8 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is CodeRankEmbed-onnx-int8 best at?
CodeRankEmbed-onnx-int8 is well-suited to feature extraction.
How do I use CodeRankEmbed-onnx-int8 in osFoundry?
Paste your mrsladoje API key in the key dialog (or deploy the open weights for self-hostable models), assign CodeRankEmbed-onnx-int8 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mrsladoje on February 18, 2026. Source: https://huggingface.co/mrsladoje/CodeRankEmbed-onnx-int8