zephyr-orpo-141b-A35b-v0.1-GGUF-smashed
Built by PrunaAI, zephyr-orpo-141b-A35b-v0.1-GGUF-smashed is a 141 billion parameter chat model. zephyr-orpo-141b-A35b-v0.1-GGUF-smashed is an open-weights chat model with roughly 141 billion parameters.
by PrunaAI · 141B parameters
Best for
- complex multi-step reasoning
- agent orchestration with tool use
- long-document analysis and summarisation
Ways to use zephyr-orpo-141b-A35b-v0.1-GGUF-smashed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your PrunaAI API key. osFoundry discovers zephyr-orpo-141b-A35b-v0.1-GGUF-smashed 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
zephyr-orpo-141b-A35b-v0.1-GGUF-smashed 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 zephyr-orpo-141b-A35b-v0.1-GGUF-smashed
zephyr-orpo-141b-A35b-v0.1-GGUF-smashed runs on a multi-GPU setup or H200 141GB at Q4 (~85 GB VRAM with KV-cache headroom). Full-precision inference requires multiple H100/H200 GPUs at FP16 (~339 GB).
zephyr-orpo-141b-A35b-v0.1-GGUF-smashed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about zephyr-orpo-141b-A35b-v0.1-GGUF-smashed
Is zephyr-orpo-141b-A35b-v0.1-GGUF-smashed free to use?
zephyr-orpo-141b-A35b-v0.1-GGUF-smashed 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 zephyr-orpo-141b-A35b-v0.1-GGUF-smashed 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 zephyr-orpo-141b-A35b-v0.1-GGUF-smashed need?
Approximately 85 GB at Q4 quantisation, or 339 GB at full FP16 precision. Requires multi-GPU at higher quantisation.
Can I run zephyr-orpo-141b-A35b-v0.1-GGUF-smashed locally?
Yes. zephyr-orpo-141b-A35b-v0.1-GGUF-smashed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is zephyr-orpo-141b-A35b-v0.1-GGUF-smashed best at?
zephyr-orpo-141b-A35b-v0.1-GGUF-smashed is well-suited to complex multi-step reasoning, agent orchestration with tool use, long-document analysis and summarisation.
How do I use zephyr-orpo-141b-A35b-v0.1-GGUF-smashed in osFoundry?
Paste your PrunaAI API key in the key dialog (or deploy the open weights for self-hostable models), assign zephyr-orpo-141b-A35b-v0.1-GGUF-smashed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by PrunaAI on April 14, 2024. Source: https://huggingface.co/PrunaAI/zephyr-orpo-141b-A35b-v0.1-GGUF-smashed