orca_mini_13b
orca_mini_13b (pankajmathur, 2023) is a 13 billion parameter chat model. orca_mini_13b is an open-weights chat model with roughly 13 billion parameters.
by pankajmathur · 13B parameters
Best for
Ways to use orca_mini_13b in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pankajmathur API key. osFoundry discovers orca_mini_13b 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
orca_mini_13b 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.
What hardware can run orca_mini_13b
orca_mini_13b runs on a single 16GB consumer GPU (~8 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~32 GB).
orca_mini_13b vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about orca_mini_13b
Is orca_mini_13b free to use?
orca_mini_13b 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 orca_mini_13b commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does orca_mini_13b need?
Approximately 8 GB at Q4 quantisation, or 32 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run orca_mini_13b locally?
Yes. orca_mini_13b is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is orca_mini_13b best at?
orca_mini_13b is well-suited to text generation.
How do I use orca_mini_13b in osFoundry?
Paste your pankajmathur API key in the key dialog (or deploy the open weights for self-hostable models), assign orca_mini_13b to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pankajmathur on June 22, 2023. Source: https://huggingface.co/pankajmathur/orca_mini_13b